JUCS - Journal of Universal Computer Science 18(8): 1022-1031, doi: 10.3217/jucs-018-08-1022
Beating Social Pulse: Understanding Information Propagation via Online Social Tagging Systems
Xuan Hau Pham‡, Jason J. Jung‡, Dosam Hwang‡‡ Yeungnam University, Gyeongsan, Republic of Korea
Corresponding author: Xuan Pham ( pxhauqbu@gmail.com ) © Xuan Pham, Jason Jung, Dosam Hwang. This article is freely available under the J.UCS Open Content License. Citation:
Pham XH, Jung JJ, Hwang D (2012) Beating Social Pulse: Understanding Information Propagation via Online Social Tagging Systems. JUCS - Journal of Universal Computer Science 18(8): 1022-1031. https://doi.org/10.3217/jucs-018-08-1022 |  |
Abstract
Social media (e.g., Twitter and FaceBook) have been one of the most popular online communication channels to share information among users. It means the users can give (and have) cognitive influences to (and from) the others. Thus, it is important for many online collaborative applications to understand how the information can be propagated via such social media. In this paper, we focus on a social tagging system where users can easily exchange resources as well as their tags with other users. Given a certain tag from a temporal folksonomy, the social pulse can be established by counting the number of users (or resources). Particularly, we can discover meaningful relationship between tags by computing inducibility. To conduct experimentation, a tag search system has been implemented to collect a dataset from Flickr.
Keywords
social pulse, social tagging, information propagation, inducibility