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The Cartographer
Independence of Sources in Social Networks
June 26, 2018 Β· Declared Dead Β· π International Conference on Information Processing and Management of Uncertainty
"No code URL or promise found in abstract"
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Authors
Manel Chehibi, Mouna Chebbah, Arnaud Martin
arXiv ID
1806.09959
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SI
Citations
4
Venue
International Conference on Information Processing and Management of Uncertainty
Last Checked
4 months ago
Abstract
Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
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