By Naoki Masuda,Renaud Lambiotte
Network technology deals a strong language to symbolize and examine complicated platforms composed of interacting components — from the net to social and organic platforms. In its average formula, this framework depends upon the idea 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 through the expanding availability of longitudinal networked information, contemporary empirical observations have proven that this assumption isn't really legitimate in numerous occasions. as a substitute, usually the community itself provides wealthy temporal houses and new instruments are required to correctly describe and examine their behaviour.
A advisor to Temporal Networks provides fresh theoretical and modelling growth within the rising box of temporally various networks, and offers connections among diversified parts of information required to handle this multi-disciplinary topic. After an advent to key suggestions on networks and stochastic dynamics, the authors consultant the reader via a coherent collection of mathematical and computational instruments for community dynamics. ideal for college kids and pros, this publication is a gateway to an energetic box of study constructing among the disciplines of utilized arithmetic, physics and desktop technological know-how, with purposes in others together with social sciences, neuroscience and biology.
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Extra 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