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Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age / / by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani
Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age / / by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani
Autore Pastore y Piontti Ana
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (221 pages)
Disciplina 616.9
Soggetto topico Social sciences—Data processing
Social sciences—Computer programs
Infectious diseases
Sociophysics
Econophysics
Epidemiology
Computational Social Sciences
Infectious Diseases
Data-driven Science, Modeling and Theory Building
ISBN 3-319-93290-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: How to Model Pandemics -- Infectious Disease Spreading: From Data to Models -- Data, Data, and More Data -- Data Model Integration: The Global Epidemic and Mobility -- From Data to Knowledge: How Models Can Be Used -- The Numerical Forecast of Pandemic Spreading: The Case Study of the 2009 A/H1N1 PDM -- Computational Modeling of "Disease X".
Record Nr. UNINA-9910337727803321
Pastore y Piontti Ana  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Complex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018 / / edited by Sean Cornelius, Kate Coronges, Bruno Gonçalves, Roberta Sinatra, Alessandro Vespignani
Complex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018 / / edited by Sean Cornelius, Kate Coronges, Bruno Gonçalves, Roberta Sinatra, Alessandro Vespignani
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (341 pages)
Disciplina 004.6
Collana Springer Proceedings in Complexity
Soggetto topico Physics
Social sciences—Data processing
Social sciences—Computer programs
Computational intelligence
Artificial intelligence
Computational complexity
Applications of Graph Theory and Complex Networks
Computational Social Sciences
Computational Intelligence
Artificial Intelligence
Complexity
ISBN 3-319-73198-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi–supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? -- Dynamic Visualization of Citation Networks and Detection of Influential Node Addition -- A Trust-Based News Spreading Model -- Discovering Mobility Functional Areas: A Mobility Data Analysis Approach -- Estimating Peer Influence Effects Under Homphily: Randomized Treatments and Insights.
Record Nr. UNINA-9910300534203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui