Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS

Citations

SCOPUS

2

초록

As social network services (SNS) are expanding from friend-based to interest-based, users form a new type of relationships, namely interest-based relationships, with friends and others through social activities (e.g., likes, comments). Although such relationships are highlighted in the common-identity theory and have important values in theoretical and practical aspects, little evidence exists in the literature pertaining to the explanation of social activities as a central component for social network analysis and an association with friendship. In this paper, we build like networks in Instagram and analyze them through the lens of two salient aspects - friendship and interest - that constitute social networks. Our study results (1) show ambiguous interpretations of the like activities between users who are friends, based on the comparative analysis between friend- and non-friend-based like networks, and (2) demonstrate strong signals of the hashtag characterizing the interest-based relationships in users and content. Our research substantiates and gives insights on the common-identity theory applied in online social networks through data-driven, empirical analysis.

키워드

common-identity theoryhashtagsinstagramlike networkKnowledge managementCentral componentComparative analysisEmpirical analysisNetwork-based analysisOn-line social networksSocial activitiesSocial network service (SNS)Through the lensSocial networking (online)
제목
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
저자
Song, JunhoPark, HyekyoungHan, KyungsikKim, Sang-Wook
DOI
10.1145/3340531.3412166
발행일
2020-10
유형
Conference Paper
저널명
International Conference on Information and Knowledge Management, Proceedings
페이지
2221 ~ 2224