Neighborhoods are good communities

Details Neighborhoods are good communities Neighborhoods are good communities

2011-11-30

arxiv.org/abs/1112.0031v1

Computer Science

Social and Information Networks

Scientific paper

The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of social networks, heavy-tailed degree distributions and large clustering coefficients, imply the existence of vertex neighborhoods (also known as egonets) that are themselves good communities. We evaluate these neighborhood communities on a range of graphs. What we find is that the neighborhood communities often exhibit conductance scores that are as good as the Fiedler cut. Also, the conductance of neighborhood communities shows similar behavior as the network community profile computed with a personalized PageRank community detection method. The latter requires sweeping over a great many starting vertices, which can be expensive. By using a small and easy-to-compute set of neighborhood communities as seeds for these PageRank communities, however, we find communities that precisely capture the behavior of the network community profile when seeded everywhere in the graph, and at a significant reduction in total work.

Affiliated with

Also associated with

No associations

Rating

Neighborhoods are good communities 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 Neighborhoods are good communities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neighborhoods are good communities will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-412339