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• W3136375183 abstract "Identification of potential node is one of the essential operations to be carried out in social network analysis as it is necessary to undertake various important decisions associated with the information propagation. Review of existing literature towards social network highlights that there is very less work carried out towards emphasizing potential node. Therefore, the proposed study offers a novel and unique solution that is capable of optimizing the level of information propagation when it is exposed to dynamic networks. The proposed study has been modeled using graph theory and it uses degree centrality distribution in order to offer more insight towards analyzing the selection of potential nodes in a social network. The study significantly contributes towards precise information propagation and its sustainability in the presence of dynamic social network in every aspect." @default.
• W3136375183 created "2021-03-29" @default.
• W3136375183 creator A5061407498 @default.
• W3136375183 creator A5083668257 @default.
• W3136375183 date "2020-02-07" @default.
• W3136375183 modified "2023-09-29" @default.
• W3136375183 title "Novel Approach for Optimizing Information Propagation in Dynamic Social Network" @default.
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• W3136375183 doi "https://doi.org/10.37394/23205.2020.19.1" @default.
• W3136375183 hasPublicationYear "2020" @default.
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