Quotation Kueffner, Konstantin, Strembeck, Mark. 2021. Toward a generalized notion of discrete time for modeling temporal networks. Network Science. 9 443-477.


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Abstract

Many real-world networks, including social networks and computer networks for example, are temporal networks. This means that the vertices and edges change over time. However, most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion of time. In this paper, we therefore introduce a generalized notion of discrete time for modeling temporal networks. Our approach also allows for considering nondeterministic time and incomplete data, two issues that are often found when analyzing datasets extracted from online social networks, for example. In order to demonstrate the consequences of our generalized notion of time, we also discuss the implications for the computation of (shortest) temporal paths in temporal networks. In addition, we implemented an R-package that provides programming support for all concepts discussed in this paper. The R-package is publicly available for download.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Network Science
Language English
Title Toward a generalized notion of discrete time for modeling temporal networks
Volume 9
Year 2021
Page from 443
Page to 477
Reviewed? Y
URL https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2050124221000205
DOI http://dx.doi.org/10.1017/nws.2021.20
Open Access Y
Open Access Link https://www.cambridge.org/core/journals/network-science/article/toward-a-generalized-notion-of-discrete-time-for-modeling-temporal-networks/3DD96AB7E5

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Kueffner, Konstantin (Former researcher)
Strembeck, Mark (Details)
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