ATHENS -- Posts like a link to a viral video of dancing babies, followed by a breaking news alert, followed by a photo of someone's lunch make Twitter seem random.
But a University of Georgia researcher says the social network is completely predictable.
Itai Himelboim worked with the Pew Research Center and Social Media Foundation to track Twitter conversations. She broke down conversations into six predictable ways:
1. Polarized vs. Tight Crowd
"Polarized crowds are typically triggered by controversial political issues. Users interact with like-minded users, receive information from sources they agree with," Himelboim said. "It reminds me of high school politics- we don't talk with you, we don't listen to you, but we definitely talk about you."
The opposite is a tight crowd, where like-minded communities form around professional topics or hobby groups and exchange specific information.