Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5195
Title: FSAs: A Qualitative Analysis of Various Friend Suggestion Algorithms in Social Networks
Authors: Chandra, Kshitiz
Bhattacharjee, Panthadeep
Keywords: Friend suggestion
Social Networks
Graphs, Algorithms
Issue Date: May-2025
Citation: 3rd International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), KIIT Deemed to be University, Bhubaneswar, 16-18 May 2025
Abstract: Social networks (SNWs) rely on effective friend suggestion algorithms (FSAs) that would enhance users’ connectivity and foster their engagement. This paper briefly compares some of the existing FSAs that are used for making such recommendations. By analyzing these algorithms, we identify their strengths and weaknesses and the way they leverage user data for making meaningful suggestions. Building on these insights, we further aim to propose a novel FSA that is based on individual user engagement and not on any form of triadic closure or past snapshot of the network.
Description: Copyright belongs to the proceeding publisher
URI: http://hdl.handle.net/2080/5195
Appears in Collections:Conference Papers

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