Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient
Social and Information Networks
2015-03-23 v2 Physics and Society
Abstract
The identification of influential nodes in complex network can be very challenging. If the network has a community structure, centrality measures may fail to identify the complete set of influential nodes, as the hubs and other central nodes of the network may lie inside only one community. Here we define a bipartite clustering coefficient that, by taking differently structured clusters into account, can find important nodes across communities.
Cite
@article{arxiv.1406.5814,
title = {Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient},
author = {J. Liebig and A. Rao},
journal= {arXiv preprint arXiv:1406.5814},
year = {2015}
}