Journal article
A data-driven study of influences in Twitter communities
Abstract
This paper presents a quantitative study of Twitter, one of the most popular micro-blogging services, from the perspective of user influence. We crawl several datasets from the most active communities on Twitter and obtain 20.5 million user profiles, along with 420.2 million directed relations and 105 million tweets among the users. User influence scores are obtained from influence measurement services, Klout and PeerIndex. Our analysis reveals …
Authors
Nguyen H; Zheng R
Journal
2012 IEEE International Conference on Communications (ICC), , , pp. 3938–3944
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/icc.2014.6883936
ISSN
1550-3607