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A Map of Approaches to Temporal Networks

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Temporal Network Theory

Part of the book series: Computational Social Sciences ((CSS))

Abstract

The study of temporal networks is motivated by the simple and important observation that just as network structure can affect dynamics, so can structure in time, and just as network topology can teach us about the system in question, so can its temporal characteristics. In many cases, leaving out either one of these components would lead to an incomplete understanding of the system or poor predictions. Including time into network modeling, we argue, inevitably leads researchers away from the trodden paths of network science. Temporal network theory requires something different—new methods, new concepts, new questions—compared to static networks. In this introductory chapter, we give an overview of the ideas that the field of temporal networks has brought forward in the last decade. We also place the contributions to the current volume on this map of temporal-network approaches.

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Acknowledgements

PH was supported by JSPS KAKENHI Grant Number JP 18H01655. JS acknowledges support from the Academy of Finland, project “Digital Daily Rhythms” (project n:o 297195).

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Authors and Affiliations

  1. Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan

    Petter Holme

  2. Department of Computer Science, Aalto University, Espoo, Finland

    Jari Saramäki

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  1. Petter Holme
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Correspondence to Petter Holme .

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  1. Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan

    Petter Holme

  2. Department of Computer Science, Aalto University, Espoo, Finland

    Jari Saramäki

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Holme, P., Saramäki, J. (2019). A Map of Approaches to Temporal Networks. In: Holme, P., Saramäki, J. (eds) Temporal Network Theory. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-23495-9_1

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