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Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media
[article]
2013
arXiv
pre-print
There is a large amount of interest in understanding users of social media in order to predict their behavior in this space. Despite this interest, user predictability in social media is not well-understood. To examine this question, we consider a network of fifteen thousand users on Twitter over a seven week period. We apply two contrasting modeling paradigms: computational mechanics and echo state networks. Both methods attempt to model the behavior of users on the basis of their past
arXiv:1306.6111v2
fatcat:om3zpwzgm5fcnhhjxd2t7lmohu