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Temporal networks

Autores adicionales: Holme, Petter -- editor | Saramäki, Jari -- editor

Series: Springer complexity | Understanding Complex Systems Publicado por : Springer (Heidelberg (Baden-Wurtemberg, Alemania)) Detalles físicos: viii, 352 páginas ilustraciones y gráficas ISBN:9783642364600.

Tema(s): Análisis de sistemas | Complejidad computacional | Informática

Año : 2013

Existencias ( 1 )
Notas de título ( 3 )

Tipo de ítem	Ubicación actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libro	Claustro 2do piso	Libro	003 T288 (Navegar estantería)	Ej.3	Disponible		100146298

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Incluye referencias bibliográficas

Temporal Networks as a Modeling Framework Petter Holme, Jari Saramäki Graph Metrics for Temporal Networks Vincenzo Nicosia, John Tang, Cecilia Mascolo, Mirco Musolesi Burstiness: Measures, Models, and Dynamic Consequences Byungjoon Min, K.-I. Goh Temporal Scale of Dynamic Networks Rajmonda Sulo Caceres, Tanya Berger-Wolf Models, Entropy and Information of Temporal Social Networks Kun Zhao, Márton Karsai, Ginestra Bianconi Temporal Motifs Lauri Kovanen, Márton Karsai, Kimmo Kaski, János Kertész Applications of Temporal Graph Metrics to Real-World Networks John Tang, Ilias Leontiadis, Salvatore Scellato, Vincenzo Nicosia Spreading Dynamics Following Bursty Activity Patterns Alexei Vazquez Time Allocation in Social Networks: Correlation Between Social Structure and Human Communication Dynamics Giovanna Miritello, Rubén Lara, Esteban Moro Temporal Networks of Face-to-Face Human Interactions Alain Barrat, Ciro Cattuto Social Insects: A Model System for Network Dynamics Daniel Charbonneau, Benjamin Blonder, Anna Dornhaus Self-Exciting Point Process Modeling of Conversation Event Sequences Naoki Masuda, Taro Takaguchi, Nobuo Sato, Kazuo Yano Infering and Calibrating Triadic Closure in a Dynamic Network Alexander V. Mantzaris, Desmond J. Higham Dynamic Communicability Predicts Infectiousness Alexander V. Mantzaris, Desmond J. Higham Random Walks on Stochastic Temporal Networks Till Hoffmann, Mason A. Porter, Renaud Lambiotte A Temporal Network Version of Watts's Cascade Model Fariba Karimi, Petter Holme Timing Interactions in Social Simulations: The Voter Model Juan Fernández-Gracia, Víctor M. Eguíluz, Maxi San Miguel

The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.