Temporal Networks

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 ...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Holme, Petter (Editor ), Saramäki, Jari (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Understanding Complex Systems,
Temas:
Graph theory.
Dynamics.
Nonlinear theories.
Mathematics.
Social sciences.
Sociology-Methodology.
Graph Theory.
Applied Dynamical Systems.
Mathematics in the Humanities and Social Sciences.
Sociological Methods.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-36461-7
003 DE-He213
005 20220114151829.0
007 cr nn 008mamaa
008 130523s2013 gw | s |||| 0|eng d
020 |a 9783642364617  |9 978-3-642-36461-7 
024 7 |a 10.1007/978-3-642-36461-7  |2 doi 
050 4 |a QA166-166.247 
072 7 |a PBV  |2 bicssc 
072 7 |a SCI064000  |2 bisacsh 
072 7 |a PBV  |2 thema 
082 0 4 |a 511.5  |2 23 
245 1 0 |a Temporal Networks  |h [electronic resource] /  |c edited by Petter Holme, Jari Saramäki. 
250 |a 1st ed. 2013. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a VIII, 352 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Understanding Complex Systems,  |x 1860-0840 
505 0 |a Metrics and Measures -- Time Scales -- Temporal Networks of Human Interactions -- Spreading Dynamics -- Models. 
520 |a 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. 
650 0 |a Graph theory. 
650 0 |a Dynamics. 
650 0 |a Nonlinear theories. 
650 0 |a Mathematics. 
650 0 |a Social sciences. 
650 0 |a Sociology-Methodology. 
650 1 4 |a Graph Theory. 
650 2 4 |a Applied Dynamical Systems. 
650 2 4 |a Mathematics in the Humanities and Social Sciences. 
650 2 4 |a Sociological Methods. 
700 1 |a Holme, Petter.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Saramäki, Jari.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642364624 
776 0 8 |i Printed edition:  |z 9783642433498 
776 0 8 |i Printed edition:  |z 9783642364600 
830 0 |a Understanding Complex Systems,  |x 1860-0840 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-36461-7  |z Texto Completo 
912 |a ZDB-2-PHA 
912 |a ZDB-2-SXP 
950 |a Physics and Astronomy (SpringerNature-11651) 
950 |a Physics and Astronomy (R0) (SpringerNature-43715) 

Ejemplares similares