Key node identification voting method based on multi-attributes in social complex networks
Author:
Affiliation:
1. School of Information Technology, Ping Dingshan University?Ping Dingshan, China, China
2. Faculty of Engineering, Built Environment and Information Technology, SEGi University, Malaysia
3. Baofeng County People's Government, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3660395.3660462
Reference13 articles.
1. Exploring influential nodes using global and local information
2. Influential nodes identification method based on adaptive adjustment of voting ability
3. Identify influential nodes in network of networks from the view of weighted information fusion
4. Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion
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