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Cited by 231

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Community detection in large-scale social networks

Du, Nan, Wu, Bin, Pei, Xin, Wang, Bai, Xu, Liutong·2007·Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis

Abstract

Recent years have seen that WWW is becoming a flourishing social media which enables individuals to easily share opinions, experiences and expertise at the push of a single button. With the pervasive usage of instant messaging systems and the fundamental shift in the ease of publishing content, social network researchers and graph theory researchers are now concerned with inferring community structures by analyzing the linkage patterns among individuals and web pages. Although the investigation of community structures has motivated many diverse algorithms, most of them are unsuitable for large-scale social networks because of the computational cost. Moreover, in addition to identify the possible community structures, how to define and explain the discovered communities is also significant in many practical scenarios.

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Metadata

Authors
Du, N., Wu, B., Pei, X., Wang, B., & Xu, L.
Venue
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Publisher
ACM
Published
2007-08-12
Pages
16-25
OpenAlex
W2047013860
Cited by
231
References
6
FWCI
14.38
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Community detection in large-scale social networks. https://app.cochat.ai/papers/10.1145/1348549.1348552
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Du, N., Wu, B., Pei, X., Wang, B., & Xu, L. (2007). Community detection in large-scale social networks. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. https://doi.org/10.1145/1348549.1348552

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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.