Abstract | ||
---|---|---|
Web 2.0 has brought about several new applications that have enabled arbitrary subsets of users to communicate with each other on a social basis. Such communication increasingly happens not just on Facebook and MySpace but on several smaller network applications such as Twitter and Dodgeball. We present a detailed characterization of Twitter, an application that allows users to send short messages. We gathered three datasets (covering nearly 100,000 users) including constrained crawls of the Twitter network using two different methodologies, and a sampled collection from the publicly available timeline. We identify distinct classes of Twitter users and their behaviors, geographic growth patterns and current size of the network, and compare crawl results obtained under rate limiting constraints. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1145/1397735.1397741 | Workshop on Software and Performance |
Keywords | Field | DocType |
current size,smaller network application,distinct class,different methodology,online social networks,twitter user,arbitrary subsets,crawl result,detailed characterization,twitter network,available timeline,measurement,rate limiting | World Wide Web,Computer science,Timeline,Limiting | Conference |
Citations | PageRank | References |
333 | 40.85 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Krishnamurthy, Balachander | 1 | 3675 | 503.69 |
Phillipa Gill | 2 | 1504 | 114.56 |
Martin Arlitt | 3 | 3275 | 361.05 |