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ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

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Review Article

A State of the Art Review on User Behavioral Issues in Online Social Networks

Author(s): Nidhi A. Patel* and Nirali Nanavati

Volume 16, Issue 2, 2023

Published on: 04 October, 2022

Article ID: e130522204779 Pages: 15

DOI: 10.2174/2666255815666220513162448

Price: $65

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Abstract

Social networks are aimed at information sharing and friend-making due to the rapid development of Online Social Networks (OSN) and the increasing number of online users. The OSNs are also becoming an ideal platform for merchandise recommendation, opinion expression, information diffusion, and influence generation. Different types of social network services and users select the appropriate social network technology, services, and applications to meet their sociability, entertainment, or information retrieval needs. User behavior involves user interaction, access, and browsing of the OSN. The users have different roles in different groups of social networks. Different identifications of the user may cause the user's intention to change. The user's intention may change as a result of different identifications. In this work, we discuss an introduction to OSN, single and multi-platform user behavior with various prediction models and recommendations.

Keywords: Fake review detection, multi-platform user behavior, online social network, single platform user behavior, spam profile user behavior analysis.

Graphical Abstract

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