CCSS: Towards conductance-based community search with size constraints-Reference-Cited by-同舟云学术

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CCSS: Towards conductance-based community search with size constraints

Published:2024-09 Issue: Volume:250 Page:123915
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

He Yue,Lin Longlong^ORCID,Yuan Pingpeng,Li Ronghua,Jia Tao,Wang Zeli

Funder

National Natural Science Foundation of China

Chongqing Municipal Education Commission

Southwest University

Publisher

Elsevier BV

Reference52 articles.

1. Local graph partitioning using PageRank vectors;Andersen,2006

2. Emergence of scaling in random networks;Barabási;Science,1999

3. Efficient and effective community search;Barbieri;Data Mining and Knowledge Discovery,2015

4. On multi-query local community detection;Bian,2018

5. Finding effective geo-social group for impromptu activities with diverse demands;Chen,2020

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1. PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Effective Temporal Graph Learning via Personalized PageRank;Entropy;2024-07-10

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