By Naoki Masuda,Renaud Lambiotte
Network technology bargains a robust language to symbolize and examine complicated structures composed of interacting components — from the net to social and organic structures. In its commonplace formula, this framework will depend on the idea that the underlying topology is static, or altering very slowly compared to dynamical approaches occurring on it, e.g., epidemic spreading or navigation. Fuelled by way of the expanding availability of longitudinal networked info, contemporary empirical observations have proven that this assumption isn't legitimate in a number of events. in its place, frequently the community itself offers wealthy temporal homes and new instruments are required to correctly describe and examine their behaviour.
A consultant to Temporal Networks provides contemporary theoretical and modelling development within the rising box of temporally various networks, and offers connections among assorted parts of data required to deal with this multi-disciplinary topic. After an advent to key strategies on networks and stochastic dynamics, the authors consultant the reader via a coherent choice of mathematical and computational instruments for community dynamics. ideal for college students and pros, this booklet is a gateway to an lively box of study constructing among the disciplines of utilized arithmetic, physics and computing device technology, 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