Chalmers, Dan, Fleming, Simon, Wakeman, Ian and Watson, Des (2011) Rhythms in Twitter. In: proceedings of 1st International Workshop on Social Object Networks (SocialObjects 2011), Boston, MA, USA.
Full text not available from this repository.Abstract
We have examined a Twitter data set, focusing on temporal patterns observed in users' tweets and in the conversations formed by interacting users - rather than a network described by follows relations, or aggregate patterns. We have found the bursty behaviour predicted by Barabasi, but with complex patterns to the bursts. By using a clustering algorithm to group intervals between tweets, we have found that conversations show a different pattern of inter-tweet intervals to individuals, tending to: have a higher volume of quick replies; take shorter breaks; and that the timing is more variable.
Item Type: | Conference or Workshop Item (Paper) |
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Schools and Departments: | School of Engineering and Informatics > Informatics |
Depositing User: | Dan Chalmers |
Date Deposited: | 06 Feb 2012 19:35 |
Last Modified: | 06 Feb 2012 21:43 |
URI: | http://sro.sussex.ac.uk/id/eprint/21390 |