Open AccessImpact of Individuals’ Engagement in Social Network-An Extensive Analysis
Author(s) -
Manjunath Gadiparthi,
E. Sreenivasa Reddy
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19185
Subject(s) - social network (sociolinguistics) , categorization , social network analysis , feeling , computer science , internet privacy , data science , mental health , psychology , social media , applied psychology , social psychology , world wide web , artificial intelligence , psychotherapist
Social Network (SN) is of avail for sharing information among individuals and communities for different purposes like sharing opinions, feelings, photos, videos and many others. Since the start of the COVID-19 epidemic and the ensuing limitations, the use of Apps on smart devices has exploded. In-line with how much time is spent on SN by a person, the manifestation of physical and mental problems are found in diverse patterns. In this review a comparative account is presented linking the time spent by individuals on social network and the patterns of the resultant health problems in course of time. Most of the earlier studies categorize the users in to various groups based on the time spent on social network. Then they describe the apparent problems that are faced, under two categories, due to the extensive time spent by the users on various social network applications. Finally, the review presents a comprehensive idea of the different analytical techniques used for finding problems faced with respect to the time spent and frequency of social network use. The results on the whole present a variegated picture as regards existence of correlation between intensity of usage and incidence of health problems.