The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Graph Metrics for Temporal Networks
Open accessAbstract
Temporal networks, i.e., networks in which the interactions among a set of elementary units change over time, can be modelled in terms of time-varying graphs, which are time-ordered sequences of graphs over a set of nodes. In such graphs, the concepts of node adjacency and reachability crucially depend on the exact temporal ordering of the links. Consequently, all the concepts and metrics proposed and used for the characterisation of static complex networks have to be redefined or appropriately extended to time-varying graphs, in order to take into account the effects of time ordering on causality. In this chapter we discuss how to represent temporal networks and we review the definitions of walks, paths, connectedness and connected components valid for graphs in which the links fluctuate over time. We then focus on temporal node–node distance, and we discuss how to characterise link persistence and the temporal small-world behaviour in this class of networks. Finally, we discuss the extension of classic centrality measures, including closeness, betweenness and spectral centrality, to the case of time-varying graphs, and we review the work on temporal motifs analysis and the definition of modularity for temporal graphs.
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Cites
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Self-citationNetwork motifs: simple building blocks of complex networks.
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Cited by
Modern temporal network theory: a colloquium
Holme, P. (2015) · The European Physical Journal B · doi:10.1140/epjb/e2015-60657-4 · Cited by 734
Metadata
- Authors
- Nicosia, V., Tang, J., Mascolo, C., Musolesi, M., Russo, G., & Latora, V.
- Venue
- Understanding Complex Systems
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 15-40
- ISSN
- 1860-0832 (ISSN-L)
- 1860-0840
- OpenAlex
- W1874858905
- Cited by
- 269
- References
- 52
- FWCI
- 47.03
- Type
- book chapter
- Language
- en
- Open access
- green
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