By Naoki Masuda,Renaud Lambiotte
Network technology deals a robust language to symbolize and examine advanced structures composed of interacting components — from the web to social and organic structures. In its usual formula, this framework depends on the belief that the underlying topology is static, or altering very slowly in comparison to dynamical methods occurring on it, e.g., epidemic spreading or navigation. Fuelled by way of the expanding availability of longitudinal networked info, fresh empirical observations have proven that this assumption isn't really legitimate in various occasions. as an alternative, 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 offers contemporary theoretical and modelling growth within the rising box of temporally various networks, and offers connections among diversified components of data required to deal with this multi-disciplinary topic. After an creation to key techniques on networks and stochastic dynamics, the authors advisor the reader via a coherent choice of mathematical and computational instruments for community dynamics. excellent for college students and execs, this e-book is a gateway to an lively box of analysis constructing among the disciplines of utilized arithmetic, physics and machine technological know-how, with functions 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