Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadatas

Cited literature [26 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00692289
Contributor : Damien Leprovost <>
Submitted on : Thursday, May 3, 2012 - 3:27:18 AM
Last modification on : Friday, July 17, 2020 - 2:54:05 PM
Long-term archiving on: : Saturday, August 4, 2012 - 2:21:31 AM

File

icwe2012-technical-full.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00692289, version 2

Citation

Damien Leprovost, Lylia Abrouk, Nadine Cullot, David Gross-Amblard. Temporal Semantic Centrality for the Analysis of Communication Networks. 2012. ⟨hal-00692289v2⟩

Share

Metrics

Record views

1330

Files downloads

381