NET2019
Workshop
Aula: Cripta Aula Magna - Ore: 10:00 - 17:20
Largo A. Gemelli, 1, Milano
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Programma
Thursday 14th November
Università Cattolica del Sacro Cuore
Cripta Aula Magna - Largo A. Gemelli, 1
10.00-10.45 Registration
10.45-11.00 Workshop Opening. Welcome and introduction
11.00-12.40 Session 1 - Centrality Measures, Contagion Models, Matrix Functions
Chair: Stefano BENATI
Daniela BUBBOLONI, Simone GHIGGI, Michele GORI
Flow centralities
Giacomo BORMETTI, Domenico DI GANGI, Fabrizio LILLO
Score-Driven Exponential Random Graphs: A New Class of Time-Varying Parameter Models for Dynamical Networks
Luca RICCETTI, Valerio Leone SCIABOLAZZA
Assessing contagion spreading across the network: centrality measures can be enough
Eglantina KALLUCI, Mentor SHEVROJA, Eva JANI
Parallel implementation of networks properties revealed from matrix functions
Silvia ZAOLI, Piero MAZZARISI, Fabrizio LILLO
Trip Centrality: walking on a temporal multiplex with non-instantaneous link travel time
14.30-15.30 Plenary Session
Chair: Alessandra CORNARO
Invited Speaker: Ernesto ESTRADA
Risk-dependent centrality in financial and economic networks
16.00-17.20 Session 2 - Real Networks
Chair: Silvana STEFANI
Francesco PIERRI, Carlo PICCARDI, Stefano CERI
Topology comparison of Twitter diffusion networks reliably reveals disinformation news
Fabio DERCOLE, Fabio DELLA ROSSA, Anna DI MEGLIO, Carlo PICCARDI
Direct reciprocity and model-predictive strategy update explain the network reciprocity observed in socio-economic networks
Giulia ROTUNDO, Roy CERQUETI
A copula approach to concentration and control in the weighted cross-shareholding complex networks
Aleksandar DAMJANOVSKI
Exploring European defense cooperation patterns in the Permanent Structured Cooperation through Social network analysis
Matteo CINELLI, Giovanna FERRARO, Antonio IOVANELLA
Evaluating relevance and redundancy of node metadata on network structure
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Organizzato da: Università Cattolica del Sacro Cuore - Dipartimento di Matematica per le scienze economiche, finanziarie ed attuariali // Università degli Studi di Milano Bicocca - Dipartimento di Statistica e Metodi Quantitativi