Exploring Tag-based Like Networks

Kyungsik Han, Jin Yea Jang, Dongwon Lee
2015 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15  
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
more » ... r 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.
doi:10.1145/2702613.2732908 dblp:conf/chi/HanJL15 fatcat:c37mgpprwngepgnguickd335ci