A Weighted Hybrid Centrality for Identifying Influential Individuals in Contact Networks

Author:

Shetty Ramya D1,Bhattacharjee Shrutilipi1

Affiliation:

1. National Institute of Technology Karnataka,Department of Information Technology,Mangaluru,India

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Graphormer-Based Contextual Reasoning Network for Small Object Detection;Pattern Recognition and Computer Vision;2023-12-26

2. Analyzing Derived Network Feature Importance to Identify Location Influence in LBSN;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

3. DSGCN: A Degree Strength Graph Convolution Network for Identifying Influential Nodes in Complex Networks;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

4. A new scheme for identifying important nodes in complex networks based on generalized degree;Journal of Computational Science;2023-03

5. Weighted GNN-based Betweenness Centrality Considering Stability and Connection Structure;2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS);2023-01-03

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