3 Citations (SciVal)
207 Downloads (Pure)


Dynamic centrality metrics provide a quantitative assessment of the strength of communication between nodes in temporal networks, as well as the overall capacity of the network for the efficient transmission of information. In this article, the behaviours of two variants of the ‘communicability’ metric are examined in simple null models of uncorrelated temporal networks. Analysis of the long-time behaviour of the null models reveals a simple trade-off in the role of the parameters of the metric, suggesting methods to calibrate parameters and to adapt to temporal variations in the network properties. The null models introduced address two main classes of temporal networks (contact sequences and interval graphs), and their predictions are compared and contrasted with results coming from real-world telecommunications data.
Original languageEnglish
Pages (from-to)113-125
Number of pages13
JournalJournal of Complex Networks
Issue number1
Early online date7 May 2014
Publication statusPublished - 1 Mar 2015


Dive into the research topics of 'Null models for dynamic centrality in temporal networks'. Together they form a unique fingerprint.

Cite this