By Naoki Masuda,Renaud Lambiotte
Network technology deals a robust language to symbolize and research advanced platforms composed of interacting parts — from the web to social and organic structures. In its normal formula, this framework depends 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 via the expanding availability of longitudinal networked info, contemporary empirical observations have proven that this assumption isn't legitimate in quite a few events. in its place, frequently the community itself provides 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 parts 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 collection of mathematical and computational instruments for community dynamics. excellent for college students and execs, this e-book is a gateway to an energetic box of analysis constructing among the disciplines of utilized arithmetic, physics and computing device technology, with functions in others together with social sciences, neuroscience and biology.
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Additional 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