By Naoki Masuda,Renaud Lambiotte
Network technology deals a robust language to symbolize and research advanced platforms composed of interacting components — from the web to social and organic platforms. In its ordinary formula, this framework is dependent upon the belief that the underlying topology is static, or altering very slowly compared to dynamical techniques occurring on it, e.g., epidemic spreading or navigation. Fuelled through the expanding availability of longitudinal networked information, contemporary empirical observations have proven that this assumption isn't really legitimate in numerous occasions. in its place, usually the community itself offers wealthy temporal homes and new instruments are required to correctly describe and examine their behaviour.
A advisor to Temporal Networks offers fresh theoretical and modelling development within the rising box of temporally various networks, and offers connections among assorted components of data required to deal with this multi-disciplinary topic. After an creation to key strategies on networks and stochastic dynamics, the authors consultant the reader via a coherent collection of mathematical and computational instruments for community dynamics. excellent for college kids and execs, this e-book is a gateway to an lively box of analysis constructing among the disciplines of utilized arithmetic, physics and computing device technological know-how, with purposes in others together with social sciences, neuroscience and biology.
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Additional resources for A Guide to Temporal Networks (Series on Complexity Science)
A Guide to Temporal Networks (Series on Complexity Science) by Naoki Masuda,Renaud Lambiotte