Bridging centrality: graph mining from element level to group level

  title={Bridging centrality: graph mining from element level to group level},
  author={Woochang Hwang and Taehyong Kim and Murali Ramanathan and Aidong Zhang},
Despite the pervasiveness of networks as models for real world systems ranging from the Internet, the World Wide Web to gene regulation and scientific collaborations, only a limited number of metrics capable of characterizing these systems are available. The existing metrics for characterizing networks have broad specificity and lack the selectivity for many applications. The purpose of this paper is to identify and critically evaluate a metric, termed bridging centrality, which is highly… CONTINUE READING
Highly Cited
This paper has 59 citations. REVIEW CITATIONS
38 Citations
5 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 38 extracted citations

59 Citations

Citations per Year
Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-5 of 5 references

A measure of betweenness centrality based on random walks

  • M.E.J. Newman
  • arxiv preprint,
  • 2003
Highly Influential
8 Excerpts

Similar Papers

Loading similar papers…