Title: Content-based networking algorithm - a cognitive perspective

Authors: Shameem Shagirbasha; D. Booshnam; Madhan Kumar

Addresses: Great Lakes Institute of Management, Manamai, Tamil Nadu – 603102, India ' Great Lakes Institute of Management, Manamai, Tamil Nadu – 603102, India ' NSB Academy, Singena Agrahara, Bangalore, Karnataka – 560099, India

Abstract: The current social networking is more predisposed towards feature-based network which includes friends list, pages liked, groups joined, etc. The existing algorithm is devised in such a way that we get connected only to our friends and the suggestions are extended based on mutual friends. Rather considering our interests, social media makes suggestions on friends and posts using algorithm based on the graph of the network. In the current system, the user gets feeds based on the posts which his/her friends update. The system fails to unlearn the user's past irrelevant activities. The proposed system will help us to socialise not based on predefined networks rather based on content updated by the user in the social media. This paper will provide an algorithm to collect a school of thoughts about a single topic purely based on its content and not based on the features.

Keywords: social media; text mining; feature-based network; content-based networking.

DOI: 10.1504/IJBEX.2025.146054

International Journal of Business Excellence, 2025 Vol.36 No.1, pp.93 - 111

Received: 16 Feb 2021
Accepted: 10 Jul 2021
Published online: 06 May 2025 *

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