Social Influence Analysis in Microblogging Platforms - A Topic-Sensitive based Approach
A.E. Cano and S. Mazumdar and F. Ciravegna

swj225_3.pdf 3.07MB
Type: Paper
Tags:

Bibtex:
@article{,
title = {Social Influence Analysis in Microblogging Platforms - A Topic-Sensitive based Approach},
journal = {Semantic Web – Interoperability, Usability, Applicability},
author = {A.E. Cano and S. Mazumdar and F. Ciravegna},
year = {2011},
url = {http://www.semantic-web-journal.net/content/social-influence-analysis-microblogging-platforms-topic-sensitive-based-approach},
license = {},
abstract = {The use of Social Media, particularly microblogging platforms such as Twitter, has proven to be an effective channel for promoting ideas to online audiences. In a world where information can bias public opinion it is essential to analyse the propagation and influence of information in large-scale networks. Recent research studying social media data to rank users by topical relevance have largely focused on the “retweet", “following" and “mention" relations. In this paper we propose the user of semantic profiles for deriving influential users based on the retweet subgraph of the Twitter graph. We introduce a variation of the PageRank algorithm for analysing users topical and entity influence based on the topical/entity relevance of a retweet relation. Experimental results show that our approach outperforms related algorithms including HITS, InDegree and Topic-Sensitive PageRank. We also introduce VisInfluence, a visualisation platform for presenting top influential users based on a topical query need.}
}

Send Feedback Start
   0.000006
DB Connect
   0.000498
Lookup hash in DB
   0.004644
Get torrent details
   0.000771
Get torrent details, finished
   0.000916
Get authors
   0.000006
Select authors
   0.004317
Parse bibtex
   0.002341
Write header
   0.001681
get stars
   0.000614
home tab
   0.000549
render right panel
   0.000075
render ads
   0.000091
fetch current hosters
   0.008431
Done