Data Reveals That “Occupying” Twitter Trending Topics is Harder Than it Looks! | SocialFlow Blog
The precise algorithm for determining trends is private, but the basic thrust is that it’s not about volume, or else Justin Bieber would be forever trending. The algorithm adapts over time, based on the changing velocity of the usage of the given term in tweets. if we see a systematic rise in volume, but no clear spike, it is possible that the topic will never trend, as the algorithm takes into account historical appearances of a trend. The implications are clear:
- The longer a term stays in the trending topic list, the higher velocity required to keep it there.
- It is much easier for a term never seen before to become a Twitter trend, and finally
- It is extremely important to understand what else is happening in the region or network (if Kim Kardashian’s show is airing, you can forget about trending!).
Over the past four weeks, I’ve been tracking the usage of Twitter amongst the OWS movement, drawn to understand how and why OWS related phrases and hashtags trend in certain regions but not in others. For example, #OccupyWallStreet is the most commonly used hashtag since the start of the movement, yet the term trended in Vancouver, Portland, Italy and San Francisco. Contrary to intuition, It has never appeared as a trending topic in New York, where most of the action took place.



