A User Interaction Based Community Detection Algorithm for Online Social Networks
Summary: Interaction-based community detection for OSNs, defining active communities by user interactions rather than friendships. Overcomes content- or topology-only limits; a data-management algorithm extracts truly active communities from interaction data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Himel Dev (Bangladesh University of Engineering and Technology)
BibTeX Citation
@inproceedings{dev_sigmod14,
title = {{A User Interaction Based Community Detection Algorithm for Online Social Networks}},
author = {Dev, Himel},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2612664},
url = {https://dl.acm.org/doi/10.1145/2588555.2612664},
year = {2014}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,608 | Privacy Preserving Social Graphs for High Precision Community Detection | 2014 | SIGMOD | - |
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