Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2012
Abstract
Twitter is a fast-growing online social network service (SNS) where users can "follow" any other user to receive his or her mini-blogs which are called "tweets". In this paper, we study the problem of identifying a user's off-line real-life social community, which we call the user'sTwitter off-line community, purely from examining Twitter network structure. Based on observations from our user-verified Twitter data and results from previous works, we propose three principles about Twitter off-line communities. Incorporating these principles, we develop a novel algorithm to iteratively discover the Twitter off-line community based on a new way of measuring user closeness. According to ground truth provided by real Twitter users, our results demonstrate the effectiveness of our approach with both high precision and recall in most cases.
Discipline
Databases and Information Systems | Social Media
Publication
WebSci '12 : proceedings of the 3rd annual ACM Web Science Conference, 2012, Evanston, IL, USA
ISBN
9781450312288
Identifier
10.1145/2380718.2380763
Publisher
ACM
Citation
XIE, Wei; LI, Cheng; ZHU, Feida; LIM, Ee-Peng; and GONG, Xueqing.
When a friend in Twitter is a friend in life. (2012). WebSci '12 : proceedings of the 3rd annual ACM Web Science Conference, 2012, Evanston, IL, USA.
Available at: https://ink.library.smu.edu.sg/sis_research/3481
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2380718.2380763