CONFERENCE PROGRAM MARCH 31 - APRIL 3, 2020 EXETER, UK @COMPLENET #COMPLENET20 - INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS
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INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS
March 31 - April 3, 2020
Exeter, UK
@CompleNet #CompleNet20
Conference Program
Conference Program Twitter Hashtag: #CompleNet20
Sponsors and Supporters
We thank all the sponsors and supporters of this year event. Their help has
been fundamental to the success of this year’s conference
Gold Sponsor
Sponsors
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Conference Program Twitter Hashtag: #CompleNet20
Organising Committee
General Chairs
Ronaldo Menezes Giuseppe Mangioni
University of Exeter University of Catania
UK Italy
@ronaldomenezes @mangionig
Program Chairs
Hugo Barbosa Jesús Gómes-Gardeñes
University of Exeter University of Zaragoza
UK Spain
@hugo_sbarbosa @gomezgardenes
Poster Chair Publication Chair
Marcos Oliveira, GESIS, Germany Bruno Gonçalves, Data for Science, Inc., USA
Webmaster Local Organisation
Ana Maria Jaramillo, University of Exeter, UK Lucy Aldridge, University of Exeter, UK
Zexun Chen, University of Exeter, UK
Sima Farokhnejad, University of Exeter, UK
Ana Maria Jaramillo, University of Exeter, UK
Mariana Macedo, University of Exeter, UK
Clodomir Santana, University of Exeter, UK
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Conference Program Twitter Hashtag: #CompleNet20
Steering Committee
Alex Arenas, Universitat Rovira i Virgili, Spain Ronaldo Menezes, University of Exeter, UK
Kate Coronges, Northeastern University, USA Stephen Uzzo, New York Hall of Science, USA
Giuseppe Mangioni, Univ. of Catania, Italy Vinko Zlatić, Rudjer Boskovic Institute, Croatia
José Mendes, University of Aveiro, Portugal
Scientific Committee
Albert Diaz-Guilera, Universitat de Barcelona, Spain Frank Schweitzer, ETH Zurich, Switzerland
Albert Sole, Universitat Rovira i Virgili, Spain Frank Takes, Universiteit Leiden, Netherlands
Alberto Antonioni, Universidad Carlos III de Madrid, Spain Fuad Aleskerov, HSE University, Russia
Aleksandra Aloric, Institute of Physics in Belgrade, Serbia Gergely Palla, Eötvös Loránd University, Hungary
Alessandro Longheu, Universita Di Catania, Italy Giacomo Livan, University College London, UK
Alessio Cardillo, Universitat Rovira i Virgili, Spain Ginestra Bianconi, Queen Mary University of London, UK
Alex Arenas, Universitat Rovira i Virgili, Spain Giulio Cimini, Istituto dei Sistemi Complessi, CNR-ISC, Italy
Alexandre Evsukoff, Univ. Federal do Rio de Janeiro, Brazil Giulio Rossetti, Italian National Research Council (ISTI-CNR ), Italy
Andrea Tagarelli, Università della Calabria, Italy Giuseppe Mangioni, University of Catania, Italy
Aniello Lampo, Universitat Oberta de Catalunya, Spain Goran Muric, University of Southern California, USA
Anna Zygmunt, Wrocław Univ. of Science and Technology, Poland Haoxiang Xia, Dalian University of Technology, China
Antonio Allard, Université Laval, Canada Hiroki Sayama, Binghamton University, USA
Anurag Singh, National Institute of Technology, Delhi, India Hocine Cherifi, University of Burgundy, USA
Attila Szolnoki, Inst. of Tech. Physics & Materials Science, Hungary Huajiao Li, China University of Geosciences, China
Bruno Cunha, University of Limerick, Ireland Hugo Barbosa, University of Exeter, UK
Carlo Piccardi, Politecnico di Milano, Italy Hywel Williams, University of Exeter, UK
Carlos Gracia, Universidad de Zaragoza, Spain Irene Sendina, Universidad Rey Juan Carlos, Spain
Carlos Ribeiro, Universidade de Lisboa, Portugal James Gleeson, University of Limerick, Ireland
Carolina Xavier, Universidade Federal do Rio de Janeiro, Brazil Jan Treur, Vrije Universiteit Amsterdam, Netherlands
Chiara Poletto, Inserm, France Jari Saramäki, Aalto University, Finland
Christian Bick, University of Exeter, UK Javier Galeano, Universidad Politécnica de Madrid, Spain
Christophe Letellier, Université de Rouen, France Javier M. Buldu, Universidad Rey Juan Carlos, Spain
Clara Granell, Universitat Rovira i Virgili, Spain Jesper Bruun, University of Copenhagen, Denmark
Claudio Juan Tessone, University of Zurich, Switzerland Jesús Gómez-Gardeñes, Universidad de Zaragoza, Spain
David Soriano, Universidad de Zaragoza, Spain Joan Matamalas, Harvard Medical School, USA
Diego Pinheiro, University of California, USA Joaquín Goñi, Purdue University, USA
Diego Silva, Universidade Federal de São Carlos, Brazil Johann Martinez, Universidad de los Andes, Colombia
Diogo Pacheco, Indiana University, USA Jordi Duch, Northwestern University, USA
Elsa Arcaute, University College London, UK Jordi Soriano, Universitat de Barcelona, Spain
Eugenio Valdano, University of California, Los Angeles, USA Jose Mendez-Bermudez, Ben. Univ. Autonoma de Puebla, Mexico
Eytan Katzav, The Hebrew University of Jerusalem, Israel José Javier Ramasco, IFISC, Spain
Fabrizio De Vico Fallani, INRIA-ICM, France Jose Mendes, University of Aveiro, Portugal
Federico Battiston, Central European University, Hungary Juan Fernandez-Gracia, IFISC, Spain
Federico Botta, Warwick Business School, UK Jun Wu, Shanghai Jiao Tong University, China
Felipe Montes, Universidad de los Andes, Colombia Juyong Park, Advanced Inst. of Science & Technology, S. Korea
Frabrizio De Vico, Brain and Spine Institute (ICM), France Kwang-Il Goh, Korea University, S. Korea
Francisco Santos, Universidade de Lisboa, Portugal Laura Lotero, Universidad Pontifi cia Bolivariana, Colombia
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Conference Program Twitter Hashtag: #CompleNet20
Scientific Committee
Leon Danon, University of Exeter, UK Philippe Giabbanelli, Furman University, USA
Leto Peel, Université Catholique de Louvain, USA Pietro Panzarasa, Queen Mary University of London, UK
Lucas Lacasa, Queen Mary University of London, UK Raffaella Burioni, Università di Parma, Italy
Luis Rocha, Indiana University,USA Ralucca Gera, Naval Postgraduate School, USA
Luiz Alves, Universidade de São Paulo, Brazil Renaud Lambiotte, University of Oxford, UK
Mahdi Jalili, RMIT University, Australia Rita Santos, University of York, UK
Malbor Asllani, Universite de Namur, Italy Roberta Sinatra, University of Copenhagen, Denmark
Malvina Marku, University of Tirana, Albania Ronaldo Menezes, University of Exeter, UK
Manlio De Domenico, Fondazione Bruno Kessler, Italy Rosa Benito, Universidad Politecnica de Madrid, Spain
Marco Javarone, University College London, UK Sabrina Gaito, Università degli Studi di Milano, Italy
Massimo Stella, University of Southampton, UK Sandro Meloni, IFISC, Spain
Matteo Cinelli, Università degli Studi di Roma, Italy Sean Cornelius, Northeastern University, USA
Matteo Zignani, Università degli Studi di Milano, Italy Sebastian Ahnert, University of Cambridge, UK
Matthias Brust, University of Luxembourg, Luxembourg Sebastian Skardal, Trinity College, USA
Maximilian Schich, University of Texas at Dallas, USA Sergey Shvydun, HSE University, Russia
Mehmet Gunes, Stevens Institute of Technology, USA Sergio Gomez, Universitat Rovira i Virgili, Spain
Michael Danziger, Northeastern University, USA Stephen Uzzo, New York Institute of Technology, USA
Michael Szell, IT University of Copenhagen, Denmark Sudarshan Iyengar, Indian Institute of Technology Ropar, India
Michele Coscia, IT University of Copenhagen, Denmark Sune Lehmann, Technical University of Denmark, Denmark
Naoki Masuda, State University of New York Buffalo, USA Taha Yasseri, University of Oxford, UK
Nazim Choudhury, University of South Florida, USA Thais Uzun, Instituto Tecnológico de Aeronáutica, Brazil
Osamu Sakai, Boston University, USA Theresa Migler, Cal Poly, San Luis Obispo, USA
Paul Expert, Imperial College London, UK Thorsten Strufe, Karlsruhe Institute of Technology, USA
Pedro Ribeiro, Universidade do Porto, Portugal Tim Evans, Imperial College London, UK
Peter Pollner, Hungarian Academy of Sciences, Hungary Timoteo Carletti, Université de Namur, Belgium
Petra Vertes, University of Cambridge, UK Tsuyoshi Murata, Tokyo Institute of Technology, Japan
Philipp Hoevel, University College Cork, Ireland Vincenzo Nicosia, Queen Mary University of London, UK
Page 5 of 35Conference Program Twitter Hashtag: #CompleNet20
Statistics
General
Abstract Oral
13%
Paper Oral
7%
CompleNet 2020 has received a record number of
submissions. There were 237 submissions (papers and Abstract Lightning Talk
abstracts) and 124 were accepted for presentation. The 5%
Rejected
overall acceptance rate was 52% which is the lowest Paper Lightning Talk
48%
acceptance rate CompleNet had to date. The acceptance 2%
for published papers wasConference Program Twitter Hashtag: #CompleNet20
Conference Visualised
Abstracts Word Cloud
Titles Word Cloud
Page 7 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Topological Data Analysis for Investigating Dynamics on and of Biological Networks
Topological data analysis (TDA) allows one to examine features in data across
multiple scales in a robust and mathematically principled manner, and it is
being applied to an increasingly diverse set of applications. We investigate
the dynamics of biological networks, models and data using topological data
analysis with concrete examples from contagions, neuroscience, and cancer.
Time permitting, we will present preliminary results using TDA to analyse
biological systems indexed by multiple parameters.
Prof Harrington's research focuses on the problem of reconciling models and
data by extracting information about the structure of models and the shape
of data. To develop these methods, Prof Harrington integrates techniques
from a variety of disciplines such as computational algebraic geometry and
computational topology, statistics, optimisation, network theory, and systems
biology. She is Co-Director of the Centre for Topological Data Analysis and
Heather Harrinton
she has been awarded an LMS Whitehead Prize and Adams Prize for her
research contributions.
University of Oxford, UK
@haharrington
Page 8 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Diversity and Social Evolution: Theoretical and Experimental Approaches
In this talk, I will provide an overview of our three recent studies on the effects
of diversity on complex social processes. Multidisciplinary methodologies are
used, combining mathematical/computational modeling and human-subject
experiments. The first study investigates primarily through agent-based
simulation how diversities of individuals' knowledge and behavior may affect
the performance of collective decision-making taking place in a social
network. The second study experimentally tests the effects of individuals'
background diversity on collaborative design and innovation. The third study
elucidates via adaptive network simulation the importance of behavioral
diversity of individuals on the maintenance of cultural (informational)
diversity and social connectivity. Through these three interrelated studies, we
illustrate how different forms of diversity of social constituents can have
different, nontrivial implications for collective social dynamics.
Hiroki Sayama is a Professor in the Department of Systems Science and
Industrial Engineering, and the Director of the Center for Collective
Dynamics of Complex Systems (CoCo), at Binghamton University, State
University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information
Science, all from the University of Tokyo, Japan. He did his postdoctoral work
Hiroki Sayama at the New England Complex Systems Institute in Cambridge, Massachusetts.
His research interests include complex dynamical networks, human and
Binghamton University, State social dynamics, collective behaviours, artificial life/chemistry, interactive
University of New York, USA systems, and complex systems education, among others. He is an expert of
Waseda University, Japan mathematical/computational modelling and analysis of various complex
systems. He has published more than 150 peer-reviewed journal articles and
@hirokisayama
conference proceedings papers and has written or edited 13 books and
conference proceedings about complex systems related topics. He currently
serves as an elected Council and Executive Committee member of the
Complex Systems Society (CSS), the Chief Editor of Complexity (Wiley/
Hindawi), an Associate Editor of Artificial Life (MIT Press), and as an editorial
board member for several other journals.
Page 9 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Biodiversity and Structural Stability of Multilayer Ecological Networks
Relations among species in ecosystems can be represented as complex
networks where both negative and positive interactions are concurrently
present. In the past years, such representation has spurred many advances –
but also many debates– especially around mutualistic communities, whose
structural features appear to facilitate mutually beneficial interactions and
increase biodiversity, under some given population dynamics. However,
current approaches neglect the complexity of inter-species competition by
adopting a mean-field perspective that does not deal with competitive
interactions properly. In this talk, we show that the information encoded in
mutualistic networks can be used to build up a multilayer network that
naturally accounts for both mutualism and competition. We then propose a
new population dynamics that reveal that the structural stability of the system
depends on an intricate relation between competition and mutualism. Finally,
by performing a stability analysis, we show that May's hypothesis for the
complexity of real ecosystems holds for real mutualistic networks.
Prof. Yamir Moreno got his PhD in Physics (Summa Cum Laude, 2000) from
the University of Zaragoza. He is the Director of the Institute for
Biocomputation and Physics of Complex Systems (BIFI), the head of the
Complex Systems and Networks Lab (COSNET) and Professor of Physics at
the Department of Theoretical Physics of the Faculty of Sciences, University of
Zaragoza. Prof. Moreno is also a Deputy Director of the ISI Foundation in Italy
and External Professor of the Complexity Science Hub Vienna, Austria. He
received the CSS Senior Scientific Award in 2019 and is an ISI Highly Cited
Yamir Moreno Scientist 2019. Prof. Moreno is the elected President of the Network Science
Society and was the President of the Complex Systems Society from 2015 to
University of Zaragoza, Spain
2018. His field of research is in the theoretical foundations of complex
@cosnet_bifi systems, which he investigates using tools from mathematics, physics and
network science. Prof. Moreno is a world expert on disease dynamics,
diffusion processes, mathematical biology, nonlinear dynamical processes,
and the structure and dynamics of complex systems. He has published more
than 200 scientific papers with a total of 18500+ citations and h-index=54 (ISI
WoK) or 30500+ and 64 (Google Scholar). At present, Prof. Moreno is a
Divisional Associate Editor of Physical Review Letters, Editor of the New
Journal of Physics, Chaos, Solitons and Fractals, and Journal of Complex
Networks; an Academic Editor of PLoS ONE, and a member of the Editorial
Boards of Scientific Reports, Applied Network Science, and Frontiers in
Physics.
Page 10 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
The Dynamics of Friendship in the Offline and Online Worlds
Robin Dunbar gained his MA from the University of Oxford and a PhD from
Bristol University. He is currently Professor of Evolutionary Psychology at the
University of Oxford, and an Emeritus Fellow of Magdalen College. He has
held Research Fellowships and Professorial Chairs in Psychology, Biology and
Anthropology at the University of Cambridge, Stockholm University,
University College London, and the University of Liverpool. He is an elected
Fellow of the British Academy, and was co-Director of the British Academy’s
Centenary Research Project. His principal research interests focus on the
evolution of sociality in mammals (with particular reference to ungulates,
primates and humans). He is best known for the social brain hypothesis, the
gossip theory of language evolution and Dunbar’s Number (the limit on the
number of relationships that we can manage). His current project focusses on
the mechanisms of social cohesion, and uses a range of approaches from
comparative analysis to cognitive experiments to neuroimaging to explore
the mechanisms that allow humans to create large scale communities. His
popular science books include The Trouble With Science, Grooming, Gossip
and the Evolution of Language, The Human Story, How Many Friends Does
One Person Need? Dunbar’s Number and Other Evolutionary Quirks, The
Science of Love and Betrayal and Human Evolution.
As one of the most intensely social species, friendships are central to our
Robin Dunbar success as individuals and as a species. In the face-to-face offline world
where our sociality, and the psychological mechanisms that underpin this,
University of Oxford, UK
has evolved over many hundreds of thousands of years, time imposes severe
@robindunbar10 constraints on our abilities to interact with many people. Out of sight quickly
becomes out of mind. The internet, and especially social media, offers the
opportunity to break through these constraints so as to dramatically increase
the size of our global village. But has this promissory note been fulfilled? And
if not, why not? I shall suggest that the constraint lies as much in our
psychology as it does in the constraints of time. Nonetheless, a better
understanding of how these constraints work may provide better insights into
how social media might be employed to greater advantage.
Page 11 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Using Social Network Analyses To Understand the Evolution of Hunter-Gatherers’
Complex Culture
The human capacity for cumulative culture (the type of culture that cannot be
recreated by a single individual and accumulates over generations) has
evolved over hundreds of thousands of years in our pre-Neolithic ancestors.
Hunter-gatherers are vanishing fast, and yet are the best window we have
into a lifestyle that has shaped our unique evolutionary traits. Using social
network analyses, quantification of hunter-gatherers medicinal plant
knowledge and agent-based model simulations, I show how hunter-gatherers
multi-level sociality has facilitated the evolution of cumulative culture.
Andrea Bamberg Migliano is a Professor in Evolutionary Anthropology at the
University of Zurich. She works on comparative behaviour of hunter-gatherer
populations, with ongoing fieldwork in the Philippines and Congo. She uses
behavioural ecology, network analyses and experimental psychology to
understand how diversity in the hunter-gatherers foraging niche has shaped
human-specific adaptations such as complex sociality, cumulative culture and
Andrea Migliano pro-sociality. Prof Migliano received her PhD in Evolutionary Anthropology
from the University of Cambridge in 2007. Following her PhD, she has held a
University of Junior Research Fellowship at Clare College, Cambridge, followed by an
Zurich, Switzerland Associate Professorship at University College London. Since moving to Zurich
in 2018, Prof Migliano has started the Hunter-Gatherers Evolutionary Ecology
@andrea_migliano
Group expanding the comparative fieldwork approach to Indonesia and the
Amazon.
Page 12 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Studying the Interplay Between Epidemic Dynamics and Human Behavior Based on
Risk Perception
Human behavioral responses play an important role in the impact of disease
outbreaks and yet they are often overlooked in epidemiological models.
Understanding to what extent behavioral changes determine the outcome of
spreading epidemics is essential to design effective intervention policies. In
this talk, we will explore the interplay between the personal decision to
protect oneself from infection and the spreading of an epidemic. I will
present a model that couples a decision game based on the perceived risk of
infection with a Susceptible-Infected-Susceptible model. Interestingly, we see
that the simple decision on whether to protect oneself is enough to modify
the course of the epidemics, by generating sustained steady oscillations in
the prevalence. We deem these oscillations detrimental and propose two
intervention policies aimed at modifying behavioral patterns to help alleviate
them. Surprisingly, we find that pulsating campaigns, compared to
continuous ones, are more effective in diminishing such oscillations.
Clara Granell Martorell is a Juan de la Cierva Postdoctoral Researcher at the
Department of Physics of the Condensed Matter at the Universidad de
Clara Granell Zaragoza, Spain. She obtained her PhD from Universitat Rovira i Virgili, in
Tarragona, Spain. Her past appointments include postdoctoral training at the
University of Zaragoza, Spain Department of Mathematics of the University of North Carolina at Chapel Hill
and the Universitat de Barcelona Institute of Complex Systems. Her work is
@claragranell
devoted to complex systems, with a special focus on problems suited to be
represented with networks. She has experience working in Epidemic
Spreading, Community Detection, Multiplex Networks as well as applying
theoretical methods to real data, such as Neuronal Networks.
Page 13 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
The Pulse of the City
In this talk, I will sketch the ways in which networks have and are being
developed for understanding and forecasting the spatial structure of cities. I
will review a little of the history of the way cities have developed, and the way
networks are key to the way energy in terms of people, goods, and
information provide the lifeblood of the city. I will make an important
distinction between the high and low-frequency city, arguing that flows on
networks are usually studied either in near real-time or over much longer
periods, the former being central to the way we understand traffic on a
minute by minute, hour by hour basis, the latter being ways in which cities
grow and evolve with respect to different transportation networks. I will relay
two examples of such ideas, first explaining how we have used the Oyster
card payment data in Greater London to represent and simulate movements
on the Tube, and secondly to explore ways in which the entire spatial
structure of Great Britain can be explored in terms of the long term impact of
new infrastructure projects such as Crossrail 1 and HS2. In this way, I hope to
outline ways in which networks are critical constructs in building a science of
cities and effective methodologies for their planning.
Michael Batty is Bartlett Professor of Planning at University College London,
where he is Chair of the Centre for Advanced Spatial Analysis (CASA). He has
worked on computer models of cities and their visualisation since the 1970s
and has published several books, such as Cities and Complexity (MIT Press,
2005) and The New Science of Cities (MIT Press, 2013). Both books won the
Alonso Prize of the North American Regional Science Association. His most
Michael Batty recent book, Inventing Future Cities, was published by MIT Press in late 2018.
Prior to his current position, he was Professor of City Planning and Dean of
University College London, UK the School of Environmental Design at the University of Wales at Cardiff from
1979 to 1990 and then Director of the National Center for Geographic
Information and Analysis at the State University of New York at Buffalo from
1990 to 1995. He is a Fellow of the British Academy (FBA) and the Royal
Society (FRS), was awarded the CBE in the Queen’s Birthday Honours in 2004
and the 2013 recipient of the Lauréat Prix International de Géographie
Vautrin Lud. In 2015 he received the Gold Medal of the Royal Geographical
Society for his work on the science of cities. In 2016, he received the Senior
Scholar Award of the Complex Systems Society and the Gold Medal of the
Royal Town Planning Institute. In 2018, he was awarded the Waldo Tobler
prize for GI Science of the Austrian Academy of Sciences, and in 2019, he
was elected as a Fellow of the Regional Science Association.
Page 14 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
The Scales of Human Mobility
There is a paradox at the heart of our current understanding of human
mobility. On one hand, a highly influential stream of literature driven by
analyses of massive empirical data found that human movements show no
evidence of characteristic spatial scales, and describe human mobility as
scale-free. On the other hand, in geography, the concept of scale, referring to
meaningful levels of description from individual buildings through
neighborhoods, cities, regions, and countries, is central for the description of
various aspects of human behaviour such as socio-economic interactions,
political and cultural dynamics. In this talk, I will present how we solved this
apparent contradiction and showed that human mobility indeed contains
meaningful scales, corresponding to spatial containers restricting mobility
behavior. The scale-free results arise from aggregating displacements across
containers. I will present a simple model, which given a person’s trajectory,
infers their neighborhoods, cities, and so on, as well as the sizes of these
geographical containers. I will show that our description dramatically
improves on the state-of-the-art in modeling, and allows us to better
understand effects due to socio-demographic differences and the built
environment.
Laura Alessandretti is a Postdoctoral Researcher at the Copenhagen Centre
for Social Data Science at the University of Copenhagen. She studies aspects
of human behavior and cognition, with a focus on Human Mobility and
Laura Alessandretti Human/Smartphones interactions, through the analysis of longitudinal digital
traces, using network science methods, as well as mathematical and
Copenhagen Center for Social
computational modelling. Her current research includes the study of
Data Science, Denmark exploration-exploitation trade-offs in human mobility (Nature Human
@lau_retti Behaviour 2.7 (2018): 485-491.), the interplay between mobility behaviour
and smartphone usage, and dynamics of competition and consensus in
blockchain-based ecosystems (Royal Society open science 4.11 (2017):
170623.). Laura holds a PhD in Applied Mathematics from City, University of
London and a Master's in Physics of Complex Systems from École normale
supérieure de Lyon. She previously held a postdoctoral position at the
Department of Mathematics and Computer Science at the Technical
University of Denmark and is a former elected member of the Young
Researchers of the Complex Systems Society advisory board.
Page 15 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Making the Case for a Perfectly Imperfect World
The central goal of my research on collective behavior is to understand how
systems can exhibit behavioral homogeneity even though the systems
themselves are not homogeneous at all. Think of heart cells beating together,
a power grid operating in sync, agents trying to reach consensus, and so on.
It is widely held that individual entities in such systems are more likely to
exhibit the same behavior if they are equal or similar. Our recent research
shows that this assumption is generally false when the entities interact with
each other. In this talk, I will discuss scenarios in which interacting entities can
keep pace with each other only when they are suitably different, and thus the
observed behavior is homogeneous only when the system itself is not. This
exposes situations in physical and biological systems in which consensus,
coherence, or synchronization is observed because of – not despite –
differences. Since individual differences are ubiquitous and often
unavoidable in real systems, such “imperfections” can be an unexpected
source of behavioral homogeneity, epitomizing the notion that imperfections
can make things perfect.
Adilson E. Motter is a Chair Professor of Physics at Northwestern University.
Prior to joining the Northwestern faculty in March 2006, he held positions as
Guest Scientist at the Max Planck Institute for the Physics of Complex
Systems and as Director's Funded Postdoctoral Fellow at the Center for
Nonlinear Studies at Los Alamos National Laboratory. Awards received by
Adilson Motter Prof. Motter include the Sloan Research Fellowship, the NSF CAREER Award,
the Erdős-Rényi Prize in Network Science, and the Simons Foundation
Northwestern University, USA
Fellowship in Theoretical Physics. He is a Fellow of the American Physical
@adilson_motter Society (APS) and of the American Association for the Advancement of
Science (AAAS). He is also a member of the Science Board of the Santa Fe
Institute and serves in the Editorial Board of Physical Review X, among other
journals. He is a former Chair of the APS Topical Group on Statistical &
Nonlinear Physics (GSNP) and is the current Vice President and Secretary of
the Network Science Society. Prof. Motter's research is focused on the
dynamical behavior of complex systems and networks and is inherently
interdisciplinary, cutting across physics, mathematics, engineering, and life
sciences.
Page 16 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
High-Resolution Social Networks
Digital technologies provide the opportunity to quantify human behaviors
with unprecedented levels of detail and coverage. Personal electronic
devices, wearable sensors and instrumented environments will be
increasingly used to study the network structure of human mobility and
interactions in environments relevant for computational social science, public
health and infectious disease dynamics. In this talk, I will review the
experience of the SocioPatterns collaboration, an ongoing, decade-long
international effort on studying high-resolution human and animal social
networks using wearable proximity sensors. I will cover recent advances in
data collection, focusing on important settings such as schools and
households in low-resource, rural environments, and on recent work on
animal social networks. I will discuss the network structures observed in
empirical temporal network data, reflect on challenges such as generalization
and data incompleteness, and review modeling approaches based on ideas
from network science and machine learning.
Dr Ciro Cattuto is an Associate Professor in the Computer Science
Department of the University of Torino and a Research co-Director of ISI
Foundation. His research interests include data science, network science,
computational social science, public health. He holds a PhD in Physics from
the University of Perugia, Italy and has carried out interdisciplinary work at the
University of Michigan, USA, at the Enrico Fermi Center and Sapienza
Ciro Catuto University in Rome, and at the Frontier Research System of RIKEN, Japan. He
is a founder and principal investigator of the SocioPatterns project, a decade-
ISI Foundation, Italy long international collaboration on studying human and animal social
@ciro networks with wearable sensors. He is an editorial board member of Nature
Scientific Data, EPJ Data Science, PeerJ CS, Journal of Computational Social
Science, Data & Policy journals. He was organizer and chair of leading
conferences in Computer Science, Data Science and Complex Systems. He is
a Fellow of the European Laboratory for Learning and Intelligent Systems
(ELLIS). He is deeply interested in the social impact of data science and
artificial intelligence, and he was designated by the European Foundation
Centre to join the Strategic Planning Committee of CRT Foundation, a
leading European philanthropy.
Page 17 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
Network Reconstruction From Indirect Observations
The observed functional behavior of a wide variety of large-scale systems is
often the result of a network of pairwise interactions. However, in many cases,
these interactions are hidden from us, either because they are impossible or
very costly to be measured directly, or, in the best case, are measured with
some degree of uncertainty. In such situations, we are required to infer the
network of interactions from indirect information. In this talk, I present a
scalable Bayesian method to perform network reconstruction from indirect
data, including noisy measurements and observed network dynamics. This
kind of approach allows us to convey in a principled manner the uncertainty
present in the measurement, and combined with versatile modelling
assumptions can yield good results even when data are scarce. In particular, I
describe how the reconstruction approach can be combined with community
detection, allowing us to tap into multiple sources of evidence available for
the task. We show how this combined approach provides a twofold
improvement, by increasing not only the reconstruction accuracy but also the
identification of communities in networks. The latter improvement is possible
even in situations where at first we might imagine that reconstruction is
superfluous, for example when direct network data are available and
measurement errors can be neglected.
Tiago Peixoto Tiago P. Peixoto is Associate Professor at the Department of Network and
Data Science at the Central European University in Budapest, and researcher
Central European University,
at the ISI Foundation, Turin. He obtained his PhD in Physics at the University
Hungary of São Paulo, and his Habilitation in Theoretical Physics at the University of
@tiagopeixoto Bremen. He was a Humboldt Foundation Fellow, and the recipient of the
Erdős-Rényi Prize in Network Science. His research focuses on characterizing,
identifying and explaining large-scale patterns found in the structure and
function of complex network systems — representing diverse phenomena
with physical, biological, technological, or social origins — using principled
approaches from statistical physics, nonlinear dynamics and Bayesian
inference.
Page 18 of 35Conference Program Twitter Hashtag: #CompleNet20
Invited Speakers
What Network Science Can Say About the Imminent COVID-19 Pandemic
The novel coronavirus SARS-CoV-2 is currently developing from a national
epidemic into an event of international and global scale. During the early
phase of the epidemic, when case counts were high in Hubei province in
China and low elsewhere, one of the key epidemiological questions was to
what extent other parts of the world were at risk of importing cases and when
first case counts are expected to occur. Especially during the onset of an
epidemic, little is known about epidemiological parameters of the emergent
virus and the initial situation is difficult to assess. Therefore dynamical models
are often unreliable because essential ingredients, initial conditions and
parameter values, are missing. I will discuss how general network scientific
principles and properties of the worldwide air-transportation network can be
used to compute relative import risks at various locations and multiple scales.
Predictions made by this approach are consistent with arrival time statistics
and case counts in currently more than 20 affected countries. Furthermore, I
will explain why the dynamics of the epidemic in China unfolded in an
unusual way and will provide an explanation for it.
Dirk Brockmann is a Professor at the Institute for Biology at Humboldt
University of Berlin and the Robert Koch Institute, Berlin. He is known for his
work in complex systems, complex networks, computational epidemiology,
Dirk Brockmann human mobility and anomalous diffusion. He studied physics and
mathematics at Duke University and the University of Göttingen where he
Humboldt University, Germany
received his degree in theoretical physics in 1995 and his PhD in 2003. After
@dirkbrockmann postdoctoral positions at the Max Planck Institute for Dynamics and Self-
Organization, Göttingen, he became Associate Professor in the Department
of Engineering Sciences and Applied Mathematics at Northwestern
University in 2008. In 2013, he became Professor at the Institute for Biology at
Humboldt University of Berlin. Brockmann worked on a variety of topics
ranging from computational neuroscience, anomalous diffusion, Levy
flights, human mobility, computational epidemiology, and complex networks.
Page 19 of 35Conference Program Twitter Hashtag: #CompleNet20
Schedule
March 31
09:00 Conference Opening
09:20 INVITED TALK
Topological Data Analysis for Investigating Dynamics on and of Biological Networks
Heather Harrington
Chair: TBD
Session: Biology & Medical Applications
Chair: Diego Pinheiro
10:10 Geometric Renormalization Unravels Self-Similarity of the Multiscale Human Connectome
Muhua Zheng, Antoine Allard, Patric Hagmann, Yasser Alemán-Gómez, and M. Ángeles
Serrano
10:30 The Role of Modularity in the Formation of Macroscopic Patterns on Functional Biological
Networks
Bram Siebert, Malbor Asllani, Cameron Hall and James Gleeson
10:50 The Entropic Origin of Nestedness in Mutualistic Ecosystems
Clàudia Payrató-Borràs, Laura Hernandez and Yamir Moreno
11:10 Coffee Break
Session: Biology & Medical Applications
Chair: Yamir Moreno
11:40 Network-Based Approach for Modeling and Analyzing Coronary Angiography
Babak Ravandi and Arash Ravandi
12:00 Network-Based Delineation of Health Service Areas: a Comparative Analysis of Community
Detection Algorithms
Diego Pinheiro, Ryan Hartman, Erick Romero, Ronaldo Menezes and Martin Cadeiras
12:30 Lunch
13:50 INVITED TALK
Diversity and Social Evolution: Theoretical and Experimental Approaches
Hiroki Sayama
Chair: Giuseppe Mangioni
Page 20 of 35Conference Program Twitter Hashtag: #CompleNet20
Session: Dynamics on and of Networks
Chair: Christian Bick
14:40 A Motif-Based Approach to Processes on Networks: Process Motifs for the Differential
Entropy of the Ornstein--Uhlenbeck Process
Alice C. Schwarze, Jonny Wray and Mason A. Porter
15:00 Structural Invertibility and Optimal Sensor Node Placement for Error and Input
Reconstruction in Dynamic Systems
Dominik Kahl, Philipp Wendland, Andreas Weber and Maik Kschischo
15:20 Causation in Network Dynamics: a Closed Form for the Reconstruction of the Jacobian Matrix
From Timeseries
Thilo Gross
15:40 Contact-Based Model for Epidemic Spreading on Temporal Networks
Philipp Hoevel, Andreas Koher, Hartmut Lentz and James Gleeson
16:00 Towards a Data-Driven Characterization of Behavioral Changes Induced by the Seasonal Flu
Nicolò Gozzi, Daniela Paolotti, Daniela Perrotta and Nicola Perra
16:20 Coffee Break
16:50 INVITED TALK
Biodiversity and Structural Stability of Multilayer Ecological Networks
Yamir Moreno
Chair: Clara Granell
Session: Structure and Dynamics
Chair: Thilo Gross
17:40 DyANE: Dynamics-Aware Node Embedding For Temporal Networks
Alain Barrat, Ciro Cattuto, Mizuki Oka And Koya Sato
18:00 Finding Influential Nodes in Modular Networks
Zakariya Ghalmane, Stephany Rajeh, Chantal Cherifi, Hocine Cherifi and Mohammed El
Hassouni
18:20 Utilizing Complex Networks With Error Bars
Istvan Kovacs
18:40 Unsupervised Strategies to Network Topology Reconfiguration Optimization With Limited
Link Addition
William Paiva, Paulo Martins and Andre Franceschi De Angelis
19:00 Welcome Cocktail
Page 21 of 35Conference Program Twitter Hashtag: #CompleNet20
Schedule
April 1
08:50 Day Opening
09:00 INVITED TALK
The Dynamics of Friendship in the Offline and Online Worlds
Robin Dunbar
Chair: Ronaldo Menezes
Session: Social Sciences - Theory and Applications
Chair: Marcos Oliveira
09:50 Modelling Social-Networks Evolution Via The Adjacent-Possible Exploration
Enrico Ubaldi, Raffaella Burioni, Francesca Tria And Vittorio Loreto
10:10 Efficient Team Structures in an Open-Ended Cooperative Creativity Experiment
Bernardo Monechi, Giulia Pullano and Vittorio Loreto
10:30 Animal Social Networks – an Introduction for Complex Systems Scientists
Josefine Bohr Brask and Darren Croft
10:50 Characterizing the Dynamics of Academic Affiliations: a Network Science Approach
Josemar Faustino, Nandini Iyer, Juan Mendoza and Ronaldo Menezes
11:10 Coffee Break
11:40 INVITED TALK
Using Social Network Analyses To Understand the Evolution of Hunter-Gatherers’
Complex
Andrea Miggliano
Chair: Stephen Uzzo
12:30 Lunch
13:50 INVITED TALK
Studying the Interplay Between Epidemic Dynamics and Human Behavior Based on
Risk Perception
Clara Granell
Chair: Alain Barrat
Page 22 of 35Conference Program Twitter Hashtag: #CompleNet20
Session: Social Sciences - Theory and Applications
Chair: Diogo Pacheco
14:40 Mixing Dynamics and Group Imbalance Lead to Degree Inequality in Face-To-Face Interaction
Marcos Oliveira, Fariba Karimi, Maria Zens, Johann Schaible, Mathieu Genois and Markus
Strohmaier
15:00 Diversity Analysis Exposes Unexpected Key Roles in Multiplex Crime Networks
Alex Sander De Oliveira Toledo, Laura C Carpi and Allbens Atman Picard Farias
15:20 Demographic Analysis of Music Preferences in Streaming Service Networks
Lidija Jovanovska, Bojan Evkoski, Miroslav Mirchev and Igor Mishkovski
15:40 Policy-Relevant Science: the Depth and Breadth of Support Networks
Bruce Desmarais and John Hird
16:00 Benchmarking Seeding Strategies for Spreading Processes in Social Networks: an Interplay
Between Influencers, Topologies and Sizes
Felipe Montes, Ana Maria Jaramillo, Jose Meisel, Albert Diaz-Guilera, Juan Valdivia, Olga L.
Sarmiento and Roberto Zarama
16:20 Coffee Break
16:50 Session: Lightning Talks 1
Chair: TBD
18:30 Poster (With Cocktail - Sponsored by Adarga)
Page 23 of 35Conference Program Twitter Hashtag: #CompleNet20
Schedule
April 2
08:50 Day Opening
09:00 INVITED TALK
The Pulse of the City
Michael Batty
Chair: Hugo Barbosa
Session: Mobility and Urban Systems
Chair: Laura Alessandretti
09:50 The Role of Geography in the Complex Diffusion of Innovations
Balazs Lengyel, Riccardo Di Clemente, Janos Kertesz and Marta C. Gonzalez
10:10 Optimisation of Signal Timings in a Road Network
Samadhi Nallaperuma, Shahin Jalili, Edward Keedwell, Alex Dawn and Laurence Oakes-Ash
10:30 Field Theory for Recurrent Mobility
Mattia Mazzoli, Alex Molas, Aleix Bassolas, Maxime Lenormand, Pere Colet and Jose Javier
Ramasco
10:50 Coffee Break
Session: Mobility And Urban Systems
Chair: Riccardo Di Clemente
11:20 Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein’s Laws of
Migration
Mariana Macedo, Laura Lotero, Alessio Cardillo, Hugo Barbosa and Ronaldo Menezes
11:40 Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model Over
Urban Street Networks
Takayasu Fushimi and Masaya Yazaki
12:00 Hierarchical Organization of Urban Mobility and its Connection With City Livability
Aleix Bassolas, Riccardo Gallotti and Jose J. Ramasco
12:20 Lunch
13:40 INVITED TALK
the Scales of Human Mobility
Laura Alessandretti
Chair: Nicola Perra
Page 24 of 35Conference Program Twitter Hashtag: #CompleNet20
14:30 Session: Lightning Talks 2
Chair: TBD
16:10 Coffee Break
16:40 INVITED TALK
Making the Case for a Perfectly Imperfect World
Adilson Motter
Chair: Jose Mendes
Session: Multilayer Networks
Chair: Alessio Cardillo
17:30 Targetted Damage to Interdependent Networks
Gareth Baxter, Gabor Timar and Jose Fernando Mendes
17:50 Similarity Analysis in Multilayer Temporal Food Trade Network
Natalia Meshcheryakova
18:10 Fragility and Anomalous Susceptibility of Weakly Interacting Networks
Giacomo Rapisardi, Alex Arenas, Guido Caldarelli and Giulio Cimini
19:00 Conference Dinner at Reed Hall
Awards Ceremony
Page 25 of 35Conference Program Twitter Hashtag: #CompleNet20
Schedule
April 3
08:50 Day Opening
09:00 INVITED TALK
High-Resolution Social Networks
Ciro Catuto
Chair: TBD
Session: Structure
Chair: Tiago Peixoto
09:50 Exact Rank--Reduction of Network Models
Alex Arenas and Eugenio Valdano
10:10 Nestedness or Nested Mess? Revising Different Nestedness Measuresand the Role of the
Degree Sequence
Matteo Bruno, Fabio Saracco, Diego Garlaschelli, Claudio Tessone and Guido Caldarelli
10:30 The Pólya Filter: a Parametric Approach to Backbone Extraction in Complex Weighted
Networks
Riccardo Marcaccioli and Giacomo Livan
10:50 Coffee Break
Session: Structure From Dynamics
Chair: Alex Arenas
11:20 Learning on Graphs With Diffusion Also Structure
Alexis Arnaudon, Robert Peach and Mauricio Barahona
11:40 Embedding Multilayer Networks Using SIR Dynamics
Lucas G. S. Jeub, Laetitia Gauvin and Yamir Moreno
12:00 Reconstructing the History of Growing Trees
Gábor Timár, Rui Costa, Sergey Dorogovtsev and José Mendes
12:20 Lunch
13:40 INVITED TALK
Network Reconstruction From Indirect Observations
Tiago Peixoto
Chair: TBD
Page 26 of 35Conference Program Twitter Hashtag: #CompleNet20
Session: Economy and Industrial Applications
Chair: Ed Keedwell
14:30 A Network Analysis Of Bitcoin Transactions
Nicolò Vallarano, Alexandre Bovet, Carlo Campajola, Francesco Mottes, Valerio Restocchi,
Tiziano Squartini And Claudio J. Tessone
14:50 Transactional Compatible Representations for High Value Clients
Irene Unceta, Jordi Nin and Oriol Pujol
15:10 Systemic Risk in Financial Networks - Approximation From Node Properties and Optimization
by Network Structure
Hrvoje Stefancic, Sebastian M. Krause, Vinko Zlatic and Guido Caldarelli
15:30 Mining the Automotive Industry: A Network Analysis of Corporate Positioning and
Technological Trends
Niklas Stoehr, Fabian Braesemann and Shi Zhou
15:50 Technological Interdependencies Predict Innovation Dynamics
Anton Pichler, Francois Lafond and Doyne Farmer
16:10 Coffee Break
16:40 INVITED TALK
What Network Science Can Say About the Imminent COVID-19 Pandemic
Dirk Brockmann
Chair: TBD
Session: Structure
Chair: TBD
17:30 The Microstructure of the Giant Component in Configuration Model Networks and its
Applications
Eytan Katzav, Ofer Biham and Reimer Kuehn
17:50 Asymmetric Node Similarity Embedding for Directed Graphs
Stefan Dernbach and Don Towsley
18:10 Condensed Graphs: a Generic Framework for Accelerating Subgraph Census Computation
Miguel Martins and Pedro Ribeiro
18:30 Conference Closing
Page 27 of 35Conference Program Twitter Hashtag: #CompleNet20
Lightning Talks
Session 1: April 1
16:50 Analyzing the European Research Collaboration Network After BREXIT
Francisco Bauza, David Iñiguez, Alfonso Tarancon and Jesus Gomez-Gardenes
17:00 The Lightning Network: Another Path to Centralisation in Bitcoin
Jianhong Lin, Kevin Primicerio, Tiziano Squartini, Christian Decker and Claudio J. Tessone
17:10 Data-Driven Strategies for Optimal Bicycle Network Growth
Luis Natera Orozco, Federico Battiston, Gerardo Iniguez and Michael Szell
17:20 Dynamic Network of United States Air Transportation at Multiple Levels
Batyr Charyyev, Mustafa Solmaz and Mehmet Gunes
17:30 Diverging Spatiotemporal Disease Propagation due to Difference in the Incubation Period:
Case Study of Cholera and Ebola Outbreaks in Sierra Leone
Rebecca Kahn, Corey Peak, Juan Fernandez-Gracia, Marcia C Castro and Caroline Buckee
17:40 Graph Expansions To Capture Relevant Context For Fraud Detection
Maria Silva, David Aparício, João Ascensão And Pedro Bizarro
17:50 Mobility Definition and Resolution Needed To Inform Predictive Epidemic Models for Spatial
Transmission From Mobile Phone Data
Giulia Pullano, Stefania Rubrichi and Vittoria Colizza
18:00 Tipping Point in Evolutionary Games on Networks Triggered by Zealots
Alessio Cardillo and Naoki Masuda
Page 28 of 35Conference Program Twitter Hashtag: #CompleNet20
Lightning Talks
Session 2: April 2
14:30 Boolean Threshold Networks as Models of Genotype-Phenotype Maps
Chico Camargo and Ard Louis
14:40 The Spreading of Computer Viruses on Time-Varying Networks
Nicola Perra
14:50 Node Classification With Bounded Error Rates
Pivithuru Wijegunawardana, Ralucca Gera and Sucheta Soundarajan
15:00 Power of Nodes Based on Their Interdependence
Sergey Shvydun
15:10 Identifying Strategic Molecules in Large Chemical Reaction Networks
Jana Marie Weber, Pietro Liò and Alexei A. Lapkin
15:20 Observability, Controllability, and Observer Design for Nonlinear Networks
Christophe Letellier and Irene Sendiña-Nadal
15:30 Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors
Elizabeth Reilly, Erik Johnson, Marisa Hughes, Devin Ramsden, Laurent Park, Brock Wester and
William Gray Roncal
15:40 Marine Prokaryote-Eukaryote Interactions: a Multilayer Network Approach
Somaye Sheykhali, Juan Fernández-Gracia, Carlos M. Duarte and Víctor M. Eguíluz
Page 29 of 35Conference Program Twitter Hashtag: #CompleNet20
Posters
April 1
1 Consistent Recovery of Communities From Sparse Multi-Relational Networks: a Scalable
Algorithm With Optimal Recovery Conditions
Sharmodeep Bhattacharyya and Shirshendu Chatterjee
2 Collective Decision-Making On Triadic Graphs
Ilja Rausch, Yara Khaluf And Pieter Simoens
3 Finding the Worldwide Industrial Transfer Pattern Under the Perspective of Econophysics
Lizhi Xing and Yujie Li
4 A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin
American country
Harvey Sanchez-Restrepo
5 Reconstruction Of Demand Shocks in Input-Output Networks
Chengyuan Han, Johannes Többen, Wilhelm Kuckshinrichs, Malte Schröder And Dirk Witthaut
6 Group Cohesion Assessment in Networks
Vincenza Carchiolo, Marco Grassia, Giuseppe Mangioni, Alessandro Longheu And Michele
Malgeri
7 Twitter Watch: Leveraging Social Media To Monitor and Predict Collective-Efficacy of
Neighborhoods
Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher Browning, Catherine
Calder and Srinivasan Parthasarathy
8 Subsystem Organization and Processes on Complex Networks - Case Brain Network
Vesa Kuikka
9 Assessment of the Effectiveness of Random and Real-Networks Based on the Asymptotic
Entropy
Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath and Mohamed El Marraki
10 Zealotry and Influence Maximization in the Voter Model: When to Target Zealots?
Guillermo Romero Moreno, Long Tran-Thanh and Markus Brede
11 Communities of Human Migration in Social Media: an Experiment in Social Sensing
Firas Aswad, Harith Hamoodat, Eraldo Ribeiro and Ronaldo Menezes
12 A Longitudinal Analysis of Vocabulary Changes in Social Media
Harith Hamoodat, Firas Aswad, Eraldo Ribeiro and Ronaldo Menezes
13 Relationship Between Ideology and Language in the Catalan Independence Context
Julia Atienza-Barthelemy, Samuel Martin-Gutierrez, Juan Carlos Losada and Rosa M. Benito
Page 30 of 3514 Learning From Emergent Behaviour in Networks To Design Non-Peaky Low-Voltage Electricity
Networks
Anush Poghosyan, Nick McCullen and Sukumar Natarajan
15 The Topology of International Trade: Comparing Network-Based and Econometric
Approaches
Marzio Di Vece, Tiziano Squartini and Diego Garlaschelli
16 A Novel Theoretical Framework to Account for Heterogeneous Infectious Periods in an SIS
Epidemic Model
Laura Di Domenico, Eugenio Valdano and Vittoria Colizza
17 Voter Model on Networks Segregated Into Two Cliques
Michael Gastner and Kota Ishida
18 Maximum-Entropy Temporal Networks: Disentangling the Role of Static and Dynamic Node
Heterogeneity
Giulio Virginio Clemente, Claudio J. Tessone, Guido Caldarelli and Diego Garlaschelli
19 Competing Local and Global Interactions in Social Dynamics: How Important Is the
Friendship Network?
Arkadiusz Jędrzejewski, Bartłomiej Nowak, Angelika Abriamiuk and Katarzyna Sznajd-Weron
20 A Scale-Invariant Random Graph Model For Network Renormalization
Margherita Lalli, Elena Garuccio And Diego Garlaschelli
21 Topological Features of a Thread-Viewing Network in the Dark Web
Bruno Requião da Cunha, Pádraig MacCarron, Jean Fernando Passold, Luiz Walmocyr Dos
Santos Júnior, Kleber Andrade Oliveira and James Gleeson
22 Modelling Leadership Dynamics With Coevolutionary Networks
John Bryden, Eric Silverman and Simon T. Powers
23 Graph Classification: Deep Learning or Feature Extraction?
Robert Peach, Alexis Arnaudon, Henry Palasciano, Hossein Abbas and Mauricio Barahona
24 Shock Propagation Along The International Macronutrient Network
Marco Grassia, Giuseppe Mangioni, Stefano Schiavo And Silvio Traverso
25 Maxmin-Ω: a New Threshold Model Based on Tropical Mathematics
Ebrahim Patel
26 What Is Going on Brazil? A Political Tale From Tweets
Diogo Pacheco, Alessandro Flammini and Filippo Menczer
27 Non-Linear Network Dynamics With Consensus-Dissensus Bifurcations
Karel Devriendt and Renaud Lambiotte
28 Inferring the Network Degree Distribution From Complexity Measures
Alejandro Tlaie, Luis Ballesteros-Esteban, Inmaculada Leyva, Ricardo Sevilla-Escoboza, Victor
Vera-Avila and Irene Sendiña-NadalConference Program Twitter Hashtag: #CompleNet20
29 Anomalous Events in the Scientific Migration Network
Robert Eyre and Filippo Simini
30 The Emergence of Segregation Driven by Mobility and Homophily
Sandro Sousa and Vincenzo Nicosia
31 Developing the Knowledge Economy: an Investigation Into the Formation and Evolution of
Research Hubs
John Fitzgerald, Peter Grindrod, Rachel Herbert and Neave O'Clery
32 Deep Learning of Dynamics on Complex Networks
Charles Murphy, Edward Laurence and Antoine Allard
33 Multivariate Information in Random Boolean Networks
Sebastián Orellana And Andrés Moreira
34 Resilience of Networks to Cascades as a Function of Node Behaviour
Oliver Smith, Reuben O'Dea, Etienne Farcot, John Crowe and Keith Hopcraft
35 Systemic Stress Test Model for Networks of Financial Institutions
Irena Vodenska, Nima Dehmamy, Alexander Becker, Sergey Buldyrev, Shlomo Havlin and
Gene Stanley
36 Generative Models of Spatial Networks With Block Structure
Rodrigo Leal-Cervantes, Renaud Lambiotte and Takaaki Aoki
37 Studying the Spatial and Topological Distribution of Graffiti Types in a City
Eric K. Tokuda, Henrique F. De Arruda, Cesar H. Comin, Roberto M. Cesar-Jr., Claudio T. Silva
and Luciano Da F. Costa
38 Collaboration and Innovation in an International Science and Engineering Competition
Marc Santolini, Leo Blondel, Abhijeet Krishna, Emma Barme, Megan Palmer and Albert-Laszlo
Barabasi
39 The Distribution of Shortest Path Lengths in Configuration Model Networks and Other
Random Networks
Ofer Biham, Eytan Katzav and Reimer Kuhn
40 Impacts of Graphs Perturbations on the Synchronizability of Directed Networks: Structural
Genericity Results
Camille Poignard, Jan Philipp Pade and Tiago Pereira
41 Nonlinear Symbolic Observability of Dynamical Networks: the DyNetObs Code
Irene Sendiña-Nadal and Christophe Letellier
42 Investigating the Temporal Evolution of Lagrangian Structures in Turbulent Flows
Christiane Schneide, Kathrin Padberg-Gehle and Jörg Schumacher
43 Bridging the Floating Gap: How News Events Build Networks of Collective Memory on
Wikipedia
Patrick Gildersleve, Taha Yasseri and Renaud Lambiotte
Page 32 of 35Conference Program Twitter Hashtag: #CompleNet20
44 Socio-Political Network Dynamics Underlying Political Shifts: a Study of the 2016 US Election
John Bryden and Eric Silverman
45 Self Organized Emergence of Modular Structures in Adaptive Dynamical Networks
Serhiy Yanchuk
46 What Window Works? The Effect of Varying Temporal Depth When Analysing Social Network
User Interactions
Naomi A. Arnold, Benjamin Steer, Hugo A. Parada G., Javier Andion, Felix Cuadrado, Raul J.
Mondragon and Richard G. Clegg
47 Inferring Default Cascades In Financial Systems
Irena Barjašić, Hrvoje Stefancic And Vinko Zlatic
48 Inside the Echo Chamber: Disentangling Network Dynamics From Polarization
Duilio Balsamo, Valeria Gelardi, Chengyuan Han, Daniele Rama, Abhishek Samantray, Claudia
Zucca and Michele Starnini
49 Long Memory Motifs Persistence in Market Structure Dynamics
Jeremy Turiel and Tomaso Aste
50 Learning (Sub-)Optimal Percolation With Network Dismantling
Marco Grassia, Manlio De Domenico and Giuseppe Mangioni
51 The Role of Network Topology and Time Scale in Asymmetrically Interacting Diseases
Paulo Cesar Ventura, Yamir Moreno and Francisco A. Rodrigues
52 Kinship Networks and Social Care Provision: an Agent-Based Model
Umberto Gostoli and Eric Silverman
53 Temporal Dynamics of Information Spread in the Context of Refugee Migration
Zahra Jafari and Toby Davies
54 The Impact of Technology Intervention on the Sustainable Development Goals
Magdalena Klemun, Sanna Ojanperä and Amy Schweikert
55 Triadic Closure Process in Distributed Online Social Networks
Cheick Ba, Matteo Zignani, Sabrina Gaito and Gian Paolo Rossi
56 Changing the Tune: Mixtures of Network Models That Vary in Time
Naomi Arnold, Raul Mondragon and Richard Clegg
57 Exponential Random Graph Models and the Structure of Social Networks
Diego Escribano Gómez, Ignacio Tamarit Ramírez and Jose Antonio Cuesta Ruiz
58 Multi-Layer Network Dynamics in Railway Systems
Mark Dekker and Deb Panja
59 Wealth Distribution for Agents With Spending Propensity, Interacting Over a Network
Víctor Muñoz
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