Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
- Title
- Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
- Author
- 김상욱
- Keywords
- Common-identity theory; Like network; Hashtags; Instagram
- Issue Date
- 2020-10
- Publisher
- ACM CIKM 2020
- Citation
- Proceedings of the 29th ACM International Conference on Information & Knowledge Management, page. 2221-2224
- 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 friendand 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.
- URI
- https://dl.acm.org/doi/10.1145/3340531.3412166https://repository.hanyang.ac.kr/handle/20.500.11754/171313
- ISBN
- 978-1-4503-6859-9
- DOI
- 10.1145/3340531.3412166
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML