Extracting Actionable Knowledge From Social Networks Using Structural Features
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09047894.pdf?arnumber=9047894
Cited by 5 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. Explainability: Actionable Information Extraction;IFMBE Proceedings;2024
2. Research Approaches for Building Analytics in Social Network towards Crowdsourcing;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07
3. Handling topic dependencies alongside topology interactions using fuzzy inferences for discovering communities in social networks;Expert Systems with Applications;2022-12
4. A new single-chromosome evolutionary algorithm for community detection in complex networks by combining content and structural information;Expert Systems with Applications;2021-12
5. An overview of actionable knowledge discovery techniques;Journal of Intelligent Information Systems;2021-10-20
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