Fast local community discovery relying on the strength of links-Reference-Cited by-同舟云学术

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Fast local community discovery relying on the strength of links

Published:2023-09-04 Issue:1 Volume:13 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Zafarmand Mohammadmahdi,Talebirad Yashar,Austin Eric,Largeron Christine,Zaïane Osmar R.

Funder

Alberta Machine Intelligence Institute

Laboratoire Hubert Curien

Canadian Institute for Advanced Research

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-023-01115-7.pdf

Reference67 articles.

1. Adamic LA, Glance N (2005) The political blogosphere and the 2004 U.S. Election: divided they blog. In: Proceedings of the 3rd international workshop on link discovery. LinkKDD ’05. Association for Computing Machinery, New York, NY, USA, pp 36–43. https://doi.org/10.1145/1134271.1134277

2. Akbas E, Zhao P (2017) Truss-based community search. Proc VLDB Endow 10(11):1298–1309. https://doi.org/10.14778/3137628.3137640

3. Andersen R, Chung F, Lang K (2006) Local graph partitioning using pagerank vectors. In: 2006 47th annual IEEE symposium on foundations of computer science (FOCS’06), pp 475–486. https://doi.org/10.1109/FOCS.2006.44

4. Bagrow JP, Bollt EM (2005) Local method for detecting communities. Phys Rev E 72:046108. https://doi.org/10.1103/PhysRevE.72.046108

5. Baltsou G, Christopoulos K, Tsichlas K (2022) Local community detection: a survey. IEEE Access 10:110701–110726

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3. USIWO: A Local Community Search Algorithm for Uncertain Graphs;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

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