Title
On modeling virality of twitter content
Abstract
Twitter is a popular microblogging site where users can easily use mobile phones or desktop machines to generate short messages to be shared with others in realtime. Twitter has seen heavy usage in many recent international events including Japan earthquake, Iran election, etc. In such events, many tweets may become viral for different reasons. In this paper, we study the virality of socio-political tweet content in the Singapore's 2011 general election (GE2011). We collected tweet data generated by about 20K Singapore users from 1 April 2011 till 12 May 2011, and the follow relationships among them. We introduce several quantitative indices for measuring the virality of tweets that are retweeted. Using these indices, we identify the most viral messages in GE2011 as well as the users behind them.
Year
DOI
Venue
2011
10.1007/978-3-642-24826-9_27
ICADL
Keywords
Field
DocType
singapore user,viral message,desktop machine,tweet data,general election,japan earthquake,socio-political tweet content,iran election,heavy usage,different reason,twitter content,communication technology,information system,new media
Internet privacy,World Wide Web,Social media,Computer science,Microblogging,General election
Conference
Volume
ISSN
Citations 
7008
0302-9743
4
PageRank 
References 
Authors
0.46
6
5
Name
Order
Citations
PageRank
Tuan-Anh Hoang112710.38
Ee-Peng Lim25889754.17
Palakorn Achananuparp330223.16
Jing Jiang43843191.63
Feida Zhu5121267.23