Abstract
On the basis of analyzing user behavior using the actual data of online communities, we constructed a model of user behavior in an online community. We found two fundamental characteristics (diversity and motivation of participants (content-oriented or friendship-based)) that majorly affect the time evolution of online communities. In addition, the model reproduced what happens in reality, such as time-scale transition of the number of posts and distribution of the number of posts in all periods. © 2013 Springer-Verlag.
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Asatani, K., Toriumi, F., Ohashi, H., Tashiro, M., & Suzuki, R. (2013). Prosperity and decline of online communities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8291 LNAI, pp. 396–404). https://doi.org/10.1007/978-3-642-44927-7_27
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