EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS.

Volume: 15, Issue: 1, Pages: 537 - 574
Published: Mar 28, 2017
Abstract
Numerous centrality measures have been developed to quantify the importances of nodes in time-independent networks, and many of them can be expressed as the leading eigenvector of some matrix. With the increasing availability of network data that changes in time, it is important to extend such eigenvector-based centrality measures to time-dependent networks. In this paper, we introduce a principled generalization of network centrality measures...
Paper Details
Title
EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS.
Published Date
Mar 28, 2017
Volume
15
Issue
1
Pages
537 - 574
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