In this paper, we study activity on the microblogging platform Twitter. We analyse two separate aspects of activity on Twitter. First, we analyse the daily and weekly number of posts, through which we find clear circadian (daily) patterns emerging in the use of Twitter for multiple languages. We see that both the number of tweets and the daily and weekly activity patterns differ between languages. Second, we analyse the progression of individual tweets through retweets in the Twittersphere. We find that the size of these progressions follow a power-law distribution. Furthermore, we build an algorithm to analyse the actual structure of the progressions and use this algorithm on a limited set of tweets. We find that retweet trees show a star-like structure.
|Title of host publication||3rd International Conference, IARIA Data Analytics 2014, Rome, Italy, August 24-28, 2014, Proceedings|
|Editors||F. Laux, P.M. Pardalos, A. Crolotte|
|Publication status||Published - 2014|
|Event||IARIA DATA ANALYTICS 2014 - |
Duration: 24 Aug 2014 → 28 Aug 2014
|Conference||IARIA DATA ANALYTICS 2014|
|Period||24/08/14 → 28/08/14|