Communication overload management through social interactions clustering
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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| Main Authors: | , , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
ACM
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| Subjects: | C30 - Documentation et information, U10 - Informatique, mathématiques et statistiques, 000 - Autres thèmes, E50 - Sociologie rurale, |
| Online Access: | http://agritrop.cirad.fr/580892/ http://agritrop.cirad.fr/580892/1/SAC16.pdf |
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