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.
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Asatani, K., Toriumi, F., Ohashi, H., Tashiro, M., Suzuki, R. (2013). Prosperity and Decline of Online Communities. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_27
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DOI: https://doi.org/10.1007/978-3-642-44927-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-44926-0
Online ISBN: 978-3-642-44927-7
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