Concept Lattice Factorization in Social Networks
Author:
Affiliation:
1. Shaanxi Normal University, China
2. Intelligent Policing Key Laboratory of Sichuan Province, China and Sichuan Police College, China
3. Xihua University, China
Funder
SCU-Luzhou Municipal People?s Government Strategic Cooperation Project
Project of Intelligent Policing Key Laboratory of Sichuan Province
Sichuan Science and Technology Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3617695.3617700
Reference14 articles.
1. Discovery of optimal factors in binary data via a novel method of matrix decomposition
2. $K$ -Clique Community Detection in Social Networks Based on Formal Concept Analysis
3. Fei Hao , Guangyao Pang , Zheng Pei , Ke Yun Qin , Yu Zhang , and Xiaoming Wang . 2019. Virtual Machines Scheduling in Mobile Edge Computing: A Formal Concept Analysis Approach . IEEE Transactions on Sustainable Computing ( 2019 ). Fei Hao, Guangyao Pang, Zheng Pei, Ke Yun Qin, Yu Zhang, and Xiaoming Wang. 2019. Virtual Machines Scheduling in Mobile Edge Computing: A Formal Concept Analysis Approach. IEEE Transactions on Sustainable Computing (2019).
4. k-Cliques mining in dynamic social networks based on triadic formal concept analysis
5. Iceberg Clique queries in large graphs
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