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Conference papers
Temporal Semantic Centrality for the Analysis of Communication Networks
Abstract : Understanding communication structures in huge and versatile online communities becomes a major issue. In this paper we propose a new metric, the Semantic Propagation Probability, that characterizes the user's ability to propagate a concept to other users, in a rapid and focused way. The message semantics is analyzed according to a given ontology. We use this metric to obtain the Temporal Semantic Centrality of a user in the community. We propose and evaluate an efficient implementation of this metric, using real-life ontologies and data sets.
Cited literature [13 references]
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00803128
Contributor : Damien Leprovost <>
Submitted on : Thursday, March 21, 2013 - 10:48:46 AM
Last modification on : Friday, July 17, 2020 - 2:53:54 PM
Long-term archiving on: : Saturday, June 22, 2013 - 4:00:37 AM
Contributor : Damien Leprovost <>
Submitted on : Thursday, March 21, 2013 - 10:48:46 AM
Last modification on : Friday, July 17, 2020 - 2:53:54 PM
Long-term archiving on: : Saturday, June 22, 2013 - 4:00:37 AM
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leprovost2012icwe.pdf
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