Exploring tag-based like networks

Kyungsik Han, Jin Yea Jang, Dongwon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


The emergence of social media has had a significant impact on how people communicate, interact, and socialize. People engage in social media in different ways by not only adding content such as photos, texts, and videos, but also adding tags, Likes, comments, and following others. Through these activities, people form and develop social connections and networks. In this paper, we present a two-dimensional Like network formed and developed by people who have a same tag in their photos. Based on the dataset consisting of 51K photos posted by 36K users in Instagram, we present the structural and relational aspects of tag-based Like networks. Our study results highlight that Like networks have different sizes and degrees of network components depending on a tag type. We also found that a large portion of Likes came from random users for all networks.

Original languageEnglish (US)
Title of host publicationCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450331463
StatePublished - Apr 18 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, Korea, Republic of
Duration: Apr 18 2015Apr 23 2015

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
Country/TerritoryKorea, Republic of

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Exploring tag-based like networks'. Together they form a unique fingerprint.

Cite this