Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
- Authors
- Song, Junho; Park, Hyekyoung; Han, Kyungsik; Kim, Sang-Wook
- Issue Date
- Oct-2020
- Publisher
- Association for Computing Machinery
- Keywords
- common-identity theory; hashtags; instagram; like network
- Citation
- International Conference on Information and Knowledge Management, Proceedings, pp.2221 - 2224
- Indexed
- SCOPUS
- Journal Title
- International Conference on Information and Knowledge Management, Proceedings
- Start Page
- 2221
- End Page
- 2224
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144956
- DOI
- 10.1145/3340531.3412166
- Abstract
- 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.
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