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100   $a20130523d2013      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTemporal Networks /$fedited by Petter Holme, Jari Saramäki
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (VIII, 352 p. 181 illus., 86 illus. in color.) 
225 1 $aUnderstanding Complex Systems,$x1860-0832
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-36460-8 
327   $aMetrics and Measures -- Time Scales -- Temporal Networks of Human Interactions -- Spreading Dynamics -- Models.
330   $aThe concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach  the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.
410  0$aUnderstanding Complex Systems,$x1860-0832
606   $aPhysics
606   $aComputational complexity
606   $aMathematics
606   $aSocial sciences
606   $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010
606   $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022
606   $aMathematics in the Humanities and Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M32000
606   $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000
615  0$aPhysics.
615  0$aComputational complexity.
615  0$aMathematics.
615  0$aSocial sciences.
615 14$aApplications of Graph Theory and Complex Networks.
615 24$aComplexity.
615 24$aMathematics in the Humanities and Social Sciences.
615 24$aMethodology of the Social Sciences.
676   $a621
702   $aHolme$b Petter$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSaramäki$b Jari$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910739465803321
996   $aTemporal Networks$93553528
997   $aUNINA