The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The community-search problem and how to plan a successful cocktail party
Abstract
A lot of research in graph mining has been devoted in the discovery of communities. Most of the work has focused in the scenario where communities need to be discovered with only reference to the input graph. However, for many interesting applications one is interested in finding the community formed by a given set of nodes. In this paper we study a query-dependent variant of the community-detection problem, which we call the community-search problem: given a graph G, and a set of query nodes in the graph, we seek to find a subgraph of G that contains the query nodes and it is densely connected.
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Cites
Resolution limit in community detection
Fortunato, S., & Barthélemy, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605965104 · Cited by 3,024
Local Graph Partitioning using PageRank Vectors
Andersen, R., Chung, F., & Lang, K. (2006) · 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06) · doi:10.1109/focs.2006.44 · Cited by 967
Cited by
A survey of community search over big graphs
Fang, Y., Huang, X., Qin, L., Zhang, Y., Zhang, W., Cheng, R., & Lin, X. (2020) · The VLDB Journal · doi:10.1007/s00778-019-00556-x · Cited by 339
Effective community search for large attributed graphs
Fang, Y., Cheng, R., Luo, S., & Hu, J. (2016) · Proceedings of the VLDB Endowment · doi:10.14778/2994509.2994538 · Cited by 317
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees
Tsourakakis, C., Bonchi, F., Gionis, A., Gullo, F., & Tsiarli, M. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2487575.2487645 · Cited by 294
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Metadata
- Authors
- Sozio, M., & Gionis, A.
- Venue
- Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2010-07-25
- Pages
- 939-948
- OpenAlex
- W1964419312
- Cited by
- 490
- References
- 2
- FWCI
- 8.68
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
