Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion
Author:
Affiliation:
1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China
2. School of Mechanical Engineering, University of Birmingham, Birmingham, U.K.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Basic Research Program of Shaanxi
Open Research Projects of Zhejiang Lab
Guangdong Provincial Key Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software
Link
http://xplorestaging.ieee.org/ielx7/6221036/10016773/09743369.pdf?arnumber=9743369
Reference35 articles.
1. The emergent properties of a dolphin social network
2. Multi-objective clustering technique based on k-nodes update policy and similarity matrix for mining communities in social networks
3. Uncovering Local Hierarchical Overlapping Communities at Scale
4. Local Community Detection With the Dynamic Membership Function
5. Defining and evaluating network communities based on ground-truth
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