Get Adaptive networks: theory, models and applications PDF

By Thilo Gross, Hiroki Sayama

ISBN-10: 3642012841

ISBN-13: 9783642012846

With adaptive, advanced networks, the evolution of the community topology and the dynamical tactics at the community are both very important and sometimes essentially entangled.

Recent learn has proven that such networks can express a plethora of latest phenomena that are eventually required to explain many real-world networks. a few of these phenomena contain strong self-organization in the direction of dynamical criticality, formation of advanced worldwide topologies in response to uncomplicated, neighborhood ideas, and the spontaneous department of "labor" during which an at the start homogenous inhabitants of community nodes self-organizes into functionally targeted periods. those are only a number of.

This booklet is a state of the art survey of these targeted networks. In it, top researchers got down to outline the longer term scope and path of a few of the main complicated advancements within the giant box of advanced community technology and its applications.

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Extra resources for Adaptive networks: theory, models and applications

Sample text

B) Similar results found in the phone-call network. Figure from [52] where |A(t0 ) ∩ A(t0 + t)| is the number of common nodes (members) in A(t0 ) and A(t0 + t), and |A(t0 ) ∪ A(t0 + t)| is the number of nodes in the union of A(t0 ) and A(t0 + t). 13b shows the average time dependent auto-correlation function for communities born with different sizes. We find that in both networks, the autocorrelation function decays faster for the larger communities, indicating that the membership of the larger communities is changing at a higher rate.

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33, D364–D368 (2005) 30. : Spectral and network methods in the analysis of correlation matrices of stock returns. Physica A-Statist. Mech. Appl. 383, 147–151 (2007) 31. : Structure and time-evolution of an internet dating community. Soc. Networks 26, 155–174 (2004) 32. : Tracking evolving communities in large linked networks. Proc. Natl. Acad. Sci. USA 101, 5249–5253 (2004) 33. : A Guide to Analysis of DNA Microarray Data, 2nd edn. Wiley-Liss, New York (2004) 34. : Empirical analysis of an evolving social network.

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Adaptive networks: theory, models and applications by Thilo Gross, Hiroki Sayama


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