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Communication overload management through social interactions clustering

Lossio-Ventura J.A., Hacid H., Roche M., Poncelet D.. 2016. In : Ossowski Sascha (ed.). Proceedings of the 31st Annual ACM Symposium on Applied Computing. New-York : ACM, p. 1166-1169. ACM Symposium on Applied Computing (SAC 2016). 31, 2016-04-04/2016-04-08, Pisa (Italie).

DOI: 10.1145/2851613.2851984

We propose in this paper to handle the problem of overload in social interactions by grouping messages according to three important dimensions: (i) content (textual and hashtags), (ii) users, and (iii) time difference. We evaluated our approach on a Twitter data set and we compared it to other existing approaches and the results are promising and encouraging.

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