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Tracking online topics over time: understanding dynamic hashtag communities.

Philipp Lorenz-SpreenFrederik WolfJonas BraunGourab GhoshalNataša Djurdjevac ConradPhilipp Hövel
Published in: Computational social networks (2018)
We consider the size of the communities in time as a proxy for online popularity dynamics. We find that the distributions of gains and losses, as well as the interevent times are fat-tailed indicating occasional, but large and sudden changes in the usage of hashtags. Inspired by typical website designs, we propose a stochastic model that incorporates a ranking with respect to a time-dependent prestige score. This causes occasional cascades of rank shift events and reproduces the observations with good agreement. This offers an explanation for the observed dynamics, based on characteristic elements of online media.
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