Due to the pandemic, the Complexity72h 2020 edition has been cancelled.

ELSA ARCAUTE: Elsa is a physicist with a masters in Mathematics and a PhD in Theoretical Physics from the University of Cambridge, UK. She is an Associate Professor in Spatial Modelling and Complexity at the Centre for Advanced Spatial Analysis (CASA), and Co-Investigator of an EPSRC grant on Digital Economies, and a MacArthur funded research project on Smart Cities. website

ALAIN BARRAT:
Alain obtained his PhD in theoretical physics at the university of Paris VI. He is currently CNRS senior researcher at the Centre de Physique Théorique in Marseille, of which he is also deputy director. He is also Specially Appointed Professor at Tokyo Institute of Technology (Japan), vice-president of the Complex Systems Society, and board member of the NetSci Society. His research focuses on complex networks and temporal networks, with many interdisciplinary connections. website

ANA BENTO: Ana is an Assistant Professor at Indiana University in Epidemiology & Biostatistics, School of Public Health & the EEB department. She is an eco-epidemiologist with a focus on ecology and evolution of infectious diseases. She earned her Ph.D. in Ecology & Evolution at Silwood Park, Imperial College London. Her research seeks to understand the dynamics of biological populations and epidemics, focusing on how to bring experimental and observational data together with mathematical theory. website

ELISA OMODEI: Elisa holds a PhD in Applied Mathematics for the Social Sciences from the École Normale Supérieure of Paris. She currently works in the Research, Assessment and Monitoring division of the UN World Food Programme. She also serves as Vice-President Secretary of the Complex System Society. Her research focuses on complex networks and data science for development and humanitarian response. website

LETO PEEL:
Leto has over 10 years of experience in theoretical and applied machine learning research in both academia and industry. His current research interest is in developing statistical methods for analysing complex networks. He has worked on many interdisciplinary research projects, collaborating with experts from a diverse variety of domains. His industry collaborations have included Airbus, BAE Systems and London MET Police and has collaborated with a variety of academic institutions. website

LIUBOV TUPIKINA:
Liubov has been working in mathematics and statistical physics: she is interested in graph theory, random walks, dynamical systems, matrix theory and its applications. She has been working on projects applying stochastic processes and statistical learning to analyze trajectories and time-series data. Currently she is a researcher at Bell labs (Saclay, France) and CRI (Paris, France). Before she has been working at Ecole Polytechnqiue (France), Humboldt University in Marie-Curie project along with Potsdam Climate Institute (Germany), IFISC (Spain). website

Due to the pandemic, the Complexity72h 2020 edition has been cancelled.

ALBERTO ANTONIONI: Alberto is an applied mathematician working on evolutionary game theory and behavioral economics. He is a Juan de la Cierva postdoctoral research fellow at Carlos III University of Madrid. website

SOFIA TEIXEIRA
: Sofia is a Postdoctoral Researcher at Indiana University Bloomington. Her research work is focused on computational models to understand collective dynamics. website

EUGENIO VALDANO: Eugenio is a postdoc at University of California, Los Angeles, USA. He is a physicist and epidemiologist. He works in infectious disease modeling. His current focus is the HIV epidemic in Sub-Saharan Africa. website

MATEUSZ WILINSKI: Mathematician by night, physicist by day, a network scientist by heart. Mateusz works on variety of problems connected to complexity. Currently, his main focus is on applying message passing approach to different problems on graphs. website

Community Detection in the Hyperbolic Space

arXiv

(Bruno, Sousa, Gursoy, Serafino, Vianello, Vranić, Boguñá)

Evaluating the impact of PrEP on HIV and gonorrhea on a networked population of female sex workers

arXiv

(Bernini, Blouzard, Bracci, Casanova, lacopini, Steinegger, Teixeira, Antonioni, Valdano)

Inside the Echo Chamber: Disentangling network dynamics from polarization

arXiv

(Balsamo, Gelardi, Han, Rama, Samantray, Zucca, Starnini)

Maximum entropy approaches for the study of triadic motifs in the Mergers & Acquisitions network

arXiv

(Adam, Garlaschi, Lin, Piaggesi, Barigozzi, Gabrielli, Mastrandrea)

Shall we turn off the media? Global information can destroy local cooperation in the one-dimensional ring

arXiv

(Aydin, Biondo, Gupta, Ivaldi, Lipari, Lozano, Parino, Bilancini, Boncinelli, Capraro)

Simplex2Vec embeddings for community detection in simplicial complexes

arXiv

(Billings, Hu, Lerda, Medvedev, Mottes, Onicas, Santoro, Petri)

Marián BOGUÑÁ (lecturer/tutor): Marián Boguñá is an associate professor and Icrea Academia researcher at the Dept of Condensed Matter Physics, University of Barcelona, Spain. Currently, his main research interests focus on Complex Systems and Complex Networks, two exciting and multidisciplinary fields of research that apply Statistical Physics techniques to the understanding of the many networked systems around us. website

Fabrizio LILLO (lecturer): Fabrizio Lillo is full Professor of Mathematical Methods for Economics, Finance, and Actuarial Sciences at the University of Bologna, Italy. website

Susanna MANRUBIA (lecturer): Susanna Manrubia is a research leader at the National Biotechnology Center (CSIC), Madrid, Spain. website

Claudio TESSONE (lecturer/tutor): Claudio J. Tessone is assistant professor at the Dept of Business Administration of the University of Zurich. He applies network analysis to socio-economical systems. website

Ennio BILANCINI (tutor): Ennio Bilancini is a professor of economics at IMT School of Advanced Studies, Lucca. He has conducted research in the areas of cognitive and behavioral economics, economic theory, (evolutionary) game theory, microeconomics, social economics, subjective well-being and welfare. He is currently interested (and prompt to supervise students interested) in the evolution of prosociality, evolutionary selection of game equilibria, measurement of strategic skills, measurement of bounded rationality, dual process interactive decision-making, economics of social status and social norms, social determinants of subjective well-being. website

Valerio CAPRARO (tutor): Valerio is a senior lecturer in economics at Middlesex University of London, UK. He combines math models and behavioral experiments to understand how people solve cooperative tasks, with the goal of helping institutions to create more collaborative societies. website

Andrea GABRIELLI (tutor): Andrea Gabrielli is a permanent researcher at the Institute of Complex Systems (ISC) of the Italian CNR. He works in statistical physics, fractal growth phenomena, percolation, self-organized criticality, application of statistical physics to cosmological and gravitational problems. His main present interest focuses on the applications of complex networks and stochastic processes to economy and brain science. website

Laetitia GAUVIN (tutor): Laetitia Gauvin is a research leader at ISI Foundation, Turin, Italy. website

Giovanni PETRI (tutor): Giovanni Petri is a research leader at ISI Foundation, Turin, Italy. website

Michele STARNINI (tutor): Michele Starnini is a researcher at ISI Foundation, Turin, Italy. website

Eugenio VALDANO (tutor): Eugenio is a postdoc at University of California, Los Angeles, USA. He is a physicist and epidemiologist. He works in infectious disease modeling. His current focus is the HIV epidemic in Sub-Saharan Africa. website

Susanna Manrubia

Viral war games: When evolution defeats imagination

Viruses count amongst the most amazing organisms on Earth regarding their evolutionary and adaptive abilities. They resort to several different forms of coding information in their genomes; together with an array of different mutational mechanisms, they have succeeded in infecting all cellular organisms and in escaping any antiviral strategy (natural or artificial). We will present two examples of viral adaptive strategies that can be formally addressed: the complex population response to combinations of antiviral drugs and the advantages of viruses with multipartite genomes. Finally, we will briefly discuss the origin of viruses and the role they may have played in the evolution of life.

Fabrizio Lillo

Dynamical models of temporal networks

Many complex systems can be described as temporal networks, i.e. networks where links appear and disappear with time. Given the high dimensionality of the problem, suitable models are needed, especially if one is interested in parameter or hidden variable estimation, link forecasting, and analytical modelling the propagation of a signal on the network. In this lecture I will present some recent advancement in the field, introducing stationary and non-stationary models with application to financial and social temporal networks.

Marián Boguñá

Network geometry. A geometric approach to complex networks

The main hypothesis of the network geometry program states that the architecture of real complex systems has a geometric origin. In a nutshell, the idea is that the elements of a complex system can be characterized by their positions in some underlying metric space so that the observable network topology —abstracting their patterns of interactions— is a reflection of their distances in this space. This simple idea has led to the development of a very general framework able to explain the most ubiquitous topological properties of real complex networks, namely, degree heterogeneity, the small-world property, and high levels of clustering. Network geometry is also able to explain in a very natural way non-trivial properties of real networks, like their self-similarity and community structure, their navigability properties, and is the basis for the definition of a renormalization group in complex networks. The same framework has also been successfully extended to weighted networks and multiplexes. In this lecture, I will review the work done in this field of research during the last ten years and discuss the applications of network geometry to many open problems in network science.

Claudio Tessone

A complex systems approach to cryptocurrencies

Cryptocurrencies are possible because their public ledgers allow the storage of trustworthy information without the pre-requisite of trust between system participants. However, for this property to be preserved, ‘who’ writes these data into the ledger must be acceptable to all. Thus, centralisation of any kind is against the core principle of blockchain-based systems. Cryptocurrencies are the most widely adopted incarnation of blockchains. They are plagued with economic incentives, many of them obvious, some others put inadvertently. In this presentation we will review different links between microscopic agent behaviour and macroscopic emergent properties of cryptocurrencies.

The lecture consists of three parts: Wealth dynamics, financial markets and dark markets. In the first part of the lecture, we will explain the increasing concentration on wealth (and power!) in different cryptocurrencies, and link it to underlying design principles. In the second, we will explain the relationship between endogenous activity in cryptocurrencies and price dynamics with respect to fiat currencies. Finally, the third part will delve into the circulation (and relative size!) of illegal trades in cryptocurrencies.

Multiresolution Filterbanks to Enhance Signal Contrast

(Speaker: Jacob Billings)

The tutorial explores the use of wavelet filters to enhance feature detection among time series. Wavelet filters are especially useful at localizing deviations from ongoing dynamics. The tutorial will demonstrate the use of several wavelet filtration schema--including continuous, discrete, and bi-orthogonal--to enhance data-driven feature detection in time-series.

Unravelling the topological arrangements and selected reaction parameters from global measurements of an extended neural model

(Speaker: Ihusan Adam)

Living brains show immensely complex dynamics that are often modelled by ensembles of simple neuron models connected through a network of intricate structure. The complexity displayed by these systems stem from the topology of the network support. To gain an insight into this problem, we propose and test a procedure that is aimed at reconstructing the a priori unknown architecture of the embedding network. To this end we consider and extended model of Leaky-Integrate and Fire (LIF) neurons with short-term plasticity. The neurons are coupled to directed network and display a level of heterogeneity in the associated current a, which dictates the ring regime in which a neuron is operating in. The aim of the method is to recover the distribution of connectivity k ̃ of the underlying networks as well as the distribution of the assigned a. Our approach to the inverse problem makes use of the celebrated Heterogenous Mean-Field (HMF) approximation to rewrite the dynamics of the system by splitting the types of neurons into classes which re ect the associated a and in-degree k ̃. The HMF reduction scheme allows us to in essence, create a mesh on the space de ned by the variables a and k ̃ in such a way that all possible neurons fall within this space. The two sought distributions of P(a) and P(k ̃) are then the correct solutions that sum the classes of neurons to reproduce the global eld that was obtained by simulating the original model. We have tested this on synthetic data, where the global eld was generated by a random network and a bell-shaped distribution of currents, and here the method captures the two distributions remarkably well and manages to almost exactly reproduce the global field.

T
he Origins of Social Balance in Signed Networks

(Speaker: Sofia Teixeira Monteiro)

Social media often reveals a complex interplay between positive and negative ties. And real online social networks are proven to show high social balance. Yet, the origin of such complex patterns of interaction remains largely elusive. In this work we study how third parties may sway our perception of others. We build a model of peer-influence relying on the analysis of all triadic relations taking into account the relations with common friends. We show that this simple peer-influence mechanism, based on balance theory of social sciences, is able to promptly increase the social balance of a signed network.

ALBERTO ANTONIONI: Alberto is an applied mathematician working on evolutionary game theory and behavioral economics. He is a Juan de la Cierva postdoctoral research fellow at Carlos III University of Madrid. website

ROSSANA MASTRANDREA: Rossana is a Mathematician, currently an Assistant Professor in the unit NETWORKS at IMT School for Advanced Studies, Lucca. Her work focuses on Statistical Physics approach to complex networks both from theoretical and empirical point view, especially in the field of Neuroscience and Economics. website

TIZIANO SQUARTINI:
Tiziano is a physicist, working since November 2015 as Assistant Professor at the IMT School for Advanced Studies Lucca (within the NETWORKS Research Unit). His research activity mainly focuses on statistical mechanics of networks. website

EUGENIO VALDANO
: Eugenio is a postdoc at University of California, Los Angeles, USA. He is a physicist and epidemiologist. He works in infectious disease modeling. His current focus is the HIV epidemic in Sub-Saharan Africa. website

Altered modularity and disproportional integration in functional networks are markers of abnormal brain organization in schizophrenia

arXiv

(Cinelli, Echegoyen, Oliveira, Orellana, Gili)

Dynamics of new strain emergence on a temporal network

arXiv

(Chakraborty, Hoffmann, Leguia, Nolet, Ortiz, Prunas, Zavojanni, Valdano, Poletto)

Maximum entropy approach to link prediction in bipartite networks

arXiv

(Baltakiene, Baltakys, Cardamone, Parisi, Radicioni, Torricelli, van Lidth de Jeude, Saracco)

Network-based indicators of Bitcoin bubbles

arXiv

(Bovet, Campajola, Lazo, Mottes, Pozzana, Restocchi, Saggese, Vallarano, Squartini, Tessone)

Network sensitivity on systemic risk

arXiv

(Di Gangi, Lo Sardo, Macchiati, Minh, Pinotti, Ramadiah, Wilinski, Cimini)

GUIDO
CALDARELLI (lecturer): Guido Caldarelli is full professor of physics at IMT Lucca, and LIMS fellow. He is vice-president of the Complex Systems Society, and in the board of the statistical and nonlinear physics division of the European Physical Society. His research interests involve structure of networks, financial networks, and multiplex networks. website

FOSCA
GIANNOTTI (lecturer): Fosca Giannotti is a senior researcher at the Information Science and Technology Institute of the National Research Council at Pisa, Italy, where she leads the Knowledge Discovery and Data Mining Laboratory. Her current research interests include data mining query languages, knowledge discovery support environment, web-mining, spatio-temporal reasoning, spatio-temporal data mining, and privacy preserving data mining. website

CHIARA
POLETTO (lecturer): Chiara Poletto is a researcher at INSERM (French National Institute of Health and Medical Research). She studies emerging pathogens and disease ecology. She applies network physics and complex system approaches to reach a theoretical understanding of the interplay between human behaviour and infection propagation, using data-driven computational models. Her goal is to provide a quantitative assessment forecast of the epidemic evolution. website

CLAUDIO J. TESSONE
(lecturer): Claudio J. Tessone is assistant professor at the Dept of Business Administration of the University of Zurich. He applies network analysis to socio-economical systems. website

GIULIO CIMINI
(tutor): Giulio Cimini is assistant professor in Quantitative Analysis and Modeling of Complex Economical and Financial Systems at IMT Lucca. website

ANGELO FACCHINI
(tutor): Angelo Facchini is Assistant Professor at IMT Lucca. His research interests are in the field of nonlinear time series analysis, complex systems and data science with applications to biophysical phenomena, markets, infrastructural water and energy networks, urban sustainability, and megacities. website

TOMMASO GILI
(tutor): Tommaso Gili currently works at the NETWORKS Complex Networks Research Unit, IMT School for Advanced Studies Lucca. Tommaso does research in Polymer Chemistry, Physical Chemistry and Biophysics. website

FABIO SARACCO
(tutor): Fabio Saracco is assistant professor at IMT Lucca, since October 2015, when he joined the NETWORKS research unit. website

Fosca Giannotti (lecture)

Big Data for understanding human dynamics: the power of networks

Claudio Tessone
(lecture)

A complex systems perspective to blockchain-based systems

Chiara Poletto
(lecture)

Introduction to network epidemiology

Guido Caldarelli
(lecture)

Application of statistical physics to finance

Paolo Barucca
(tutorial)

Network models of systemic risk

Marcos Oliveira
(tutorial)

Performing embarrassingly parallel data analysis in Python using IPyparallel and Pandas

Ruggiero Lo Sard
o (tutorial)

Web visualization of small scale complex networks

Alexandre Bovet
(tutorial)

Uncovering memory patterns in temporal networks with higher-order Markov models

Tommaso Radicioni
(tutorial)

How to use Gephi? A short introduction to network analysis and visualization

ALBERTO ANTONIONI: Alberto is a mathematician working on evolutionary game theory and experimental economics. He is now a postdoctoral research fellow at University College London. website

TIZIANO
SQUARTINI: Tiziano is a physicist, working since November 2015 as Assistant Professor at the IMT School for Advanced Studies Lucca (within the NETWORKS Research Unit). His research activity mainly focuses on statistical mechanics of networks. website

EUGENIO
VALDANO: Eugenio is a postdoc at URV in Tarragona, Spain. He is a physicist and epidemiologist. He works in infectious disease modeling. website

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