03644cam a2200241Ka 450000500170000000800410001702000180005803500210007604000600009704100080015724500630016526000600022830000520028849000240034049000340036450400410039850516930043952011580213265000270329065000300331770000260334770000290337320150604155043.0130605s2013 gw ad frn 000 0 eng d a9783642364600 a(OCoLC)846838827 aCO-BoUCMcJose A. Gerena (modificó)d[Nuevo]d[Nuevo]0 aeng00aTemporal networksceditores Petter Holme y Jari Saramäki aHeidelberg (Baden-Wurtemberg, Alemania)bSpringerc2013 aviii, 352 páginasbilustraciones y gráficas0 aSpringer complexity0 aUnderstanding Complex Systems aIncluye referencias bibliográficas0 tTemporal Networks as a Modeling FrameworkrPetter Holme, Jari SaramäkitGraph Metrics for Temporal NetworksrVincenzo Nicosia, John Tang, Cecilia Mascolo, Mirco MusolesitBurstiness: Measures, Models, and Dynamic ConsequencesrByungjoon Min, K.-I. GohtTemporal Scale of Dynamic NetworksrRajmonda Sulo Caceres, Tanya Berger-WolftModels, Entropy and Information of Temporal Social NetworksrKun Zhao, Márton Karsai, Ginestra BianconitTemporal MotifsrLauri Kovanen, Márton Karsai, Kimmo Kaski, János KertésztApplications of Temporal Graph Metrics to Real-World NetworksrJohn Tang, Ilias Leontiadis, Salvatore Scellato, Vincenzo NicosiatSpreading Dynamics Following Bursty Activity PatternsrAlexei VazqueztTime Allocation in Social Networks: Correlation Between Social Structure and Human Communication DynamicsrGiovanna Miritello, Rubén Lara, Esteban MorotTemporal Networks of Face-to-Face Human InteractionsrAlain Barrat, Ciro CattutotSocial Insects: A Model System for Network DynamicsrDaniel Charbonneau, Benjamin Blonder, Anna DornhaustSelf-Exciting Point Process Modeling of Conversation Event SequencesrNaoki Masuda, Taro Takaguchi, Nobuo Sato, Kazuo YanotInfering and Calibrating Triadic Closure in a Dynamic NetworkrAlexander V. Mantzaris, Desmond J. HighamtDynamic Communicability Predicts InfectiousnessrAlexander V. Mantzaris, Desmond J. HighamtRandom Walks on Stochastic Temporal NetworksrTill Hoffmann, Mason A. Porter, Renaud LambiottetA Temporal Network Version of Watts's Cascade ModelrFariba Karimi, Petter HolmetTiming Interactions in Social Simulations: The Voter ModelrJuan Fernández-Gracia, Víctor M. Eguíluz, Maxi San Miguel aThe 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. 7aAnálisis de sistemas 7aComplejidad computacional1 aHolme, Pettereeditor1 aSaramäki, Jarieeditor