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- 348 creator arun-maiya.
- 348 creator tanya-berger-wolf.
- 348 type InProceedings.
- 348 label "Sampling Community Structure".
- 348 sameAs 348.
- 348 abstract "We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgraphs representative of community structure in the original graph. Using samples produced by our method, we show that the problem of community detection may be recast into a case of statistical relational learning. We empirically evaluate our approach against several real-world datasets and demonstrate that our sampling method can effectively be used to infer and approximate community affiliation in the larger network. To the best of our knowledge, this is the first work using sampling to make non-trivial inferences of latent properties such as community structure in the larger graph.".
- 348 hasAuthorList authorList.
- 348 isPartOf proceedings.
- 348 keyword "Community discovery".
- 348 keyword "social media analysis".
- 348 keyword "social network analysis".
- 348 keyword "structure modeling".
- 348 title "Sampling Community Structure".