Name
Abstract | ||
|---|---|---|
In this work we examine the characteristics of social activity and patterns of communication on Twitter, a prominent example of the emerging class of communication systems we call "social awareness streams." We use system data and message content from over 350 Twitter users, applying human coding and quantitative analysis to provide a deeper understanding of the activity of individuals on the Twitter network. In particular, we develop a content-based categorization of the type of messages posted by Twitter users, based on which we examine users' activity. Our analysis shows two common types of user behavior in terms of the content of the posted messages, and exposes differences between users in respect to these activities. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1718918.1718953 | CSCW |
Keywords | Field | DocType |
twitter user,common type,quantitative analysis,social awareness stream,communication system,posted message,content-based categorization,social activity,twitter network,message content,social media,communication systems,social awareness | Categorization,World Wide Web,Internet privacy,Social media,Computer science,Social activity,Social consciousness,Communications system,Coding (social sciences) | Conference |
Citations | PageRank | References |
306 | 27.30 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mor Naaman | 1 | 4783 | 318.39 |
| Jeffrey Boase | 2 | 446 | 44.77 |
| Chih-Hui Lai | 3 | 372 | 33.30 |