Overview
- Provides the first introduction to time-dependent complex network dynamics and topologies
- Edited and authored by leading researches in the field
- Covers both theory and applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (17 chapters)
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Front Matter
Keywords
About this book
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 networkmethods 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.
Editors and Affiliations
Bibliographic Information
Book Title: Temporal Networks
Editors: Petter Holme, Jari Saramäki
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-642-36461-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36460-0Published: 05 June 2013
Softcover ISBN: 978-3-642-43349-8Published: 23 June 2015
eBook ISBN: 978-3-642-36461-7Published: 23 May 2013
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: VIII, 352
Topics: Applications of Graph Theory and Complex Networks, Complexity, Mathematics in the Humanities and Social Sciences, Methodology of the Social Sciences