Parameterized Centrality for Network Analysis

Details Parameterized Centrality for Network Analysis Parameterized Centrality for Network Analysis

2009-11-05

arxiv.org/abs/0911.1095v1

Physics

Physics and Society

4 pages, 2 figures

Scientific paper

Bonacich centrality measures the number of attenuated paths between nodes in a network. We use this metric to study network structure, specifically, to rank nodes and find community structure of the network. To this end we extend the modularity-maximization method for community detection to use this centrality metric as a measure of node connectivity. Bonacich centrality contains a tunable parameter that sets the length scale of interactions. By studying how rankings and discovered communities change when this parameter is varied allows us to identify globally important nodes and structures. We apply the proposed method to several benchmark networks and show that it leads to better insight into network structure than earlier methods.

Affiliated with

Also associated with

No associations

Rating

Parameterized Centrality for Network Analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Parameterized Centrality for Network Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parameterized Centrality for Network Analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-418852