By Naoki Masuda,Renaud Lambiotte
Network technological know-how bargains a strong language to symbolize and research advanced platforms composed of interacting components — from the web to social and organic platforms. In its average formula, this framework depends on the belief that the underlying topology is static, or altering very slowly in comparison to dynamical approaches happening on it, e.g., epidemic spreading or navigation. Fuelled by means of the expanding availability of longitudinal networked information, fresh empirical observations have proven that this assumption isn't legitimate in quite a few events. in its place, usually the community itself offers wealthy temporal homes and new instruments are required to correctly describe and examine their behaviour.
A consultant to Temporal Networks offers contemporary theoretical and modelling growth within the rising box of temporally various networks, and gives connections among assorted components of information required to deal with this multi-disciplinary topic. After an creation to key suggestions on networks and stochastic dynamics, the authors consultant the reader via a coherent choice of mathematical and computational instruments for community dynamics. excellent for college students and execs, this booklet is a gateway to an energetic box of study constructing among the disciplines of utilized arithmetic, physics and laptop technological know-how, with purposes in others together with social sciences, neuroscience and biology.
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Extra info for A Guide to Temporal Networks (Series on Complexity Science)
A Guide to Temporal Networks (Series on Complexity Science) by Naoki Masuda,Renaud Lambiotte