Title

Communication overload management through social interactions clustering

Source of Publication

Proceedings of the ACM Symposium on Applied Computing

Abstract

© 2016 ACM. 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.

Document Type

Conference Proceeding

ISBN

['9781450337397']

First Page

1166

Last Page

1169

Publication Date

4-4-2016

DOI

10.1145/2851613.2851984

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