Beating Social Pulse: Understanding Information Propagation via Online Social Tagging Systems
- Authors
- Pham, Xuan Hau; Jung, Jason J.; Hwang, Dosam
- Issue Date
- 2012
- Publisher
- GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICM
- Keywords
- Social pulse; Social tagging; Information propagation; Inducibility
- Citation
- JOURNAL OF UNIVERSAL COMPUTER SCIENCE, v.18, no.8, pp 1022 - 1031
- Pages
- 10
- Journal Title
- JOURNAL OF UNIVERSAL COMPUTER SCIENCE
- Volume
- 18
- Number
- 8
- Start Page
- 1022
- End Page
- 1031
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37742
- DOI
- 10.3217/jucs-018-08-1022
- ISSN
- 0948-695X
0948-6968
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37742)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.