Rhythms in Twitter

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)
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
📧 Request an update