Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8902280 | Journal of Computational and Applied Mathematics | 2018 | 11 Pages |
Abstract
Centrality measures play a central role in Complex Networks Theory as much as they provide a tool to rank nodes by their relevance in the processes occurring in a network. In this paper we propose a model for the eigenvector-like centralities of temporal networks that evolve on a continuous time scale. We analytically prove that these centralities can be approximated by the centralities of temporal networks on discrete time scale.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Julio Flores, Miguel Romance,