Twitter Engineering: Studying rapidly evolving user interests | Tracking Transmedia | Scoop.it

This week, we are presenting a short paper at the International Conference on Weblogs and Social Media (ICWSM 2012), in which @gilad and I examine this phenomenon. An extended version of the paper, titled "A Study of 'Churn' in Tweets and Real-Time Search Queries", is available here. Some highlights:

 

Examining all search queries from October 2011, we see that, on average, about 17% of the top 1000 query terms from one hour are no longer in the top 1000 during the next hour. In other words, 17% of the top 1000 query terms "churn over" on an hourly basis.


Repeating this at a granularity of days instead of hours, we still find that about 13% of the top 1000 query terms from one day are no longer in the top 1000 during the next day....