2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2016)
San Francisco, CA, USA
Aug. 18, 2016 to Aug. 21, 2016
Christophe Thovex , Laboratory of Computer Sciences Nantes Atlantique (LINA, UMR CNRS 6241), Université de Nantes, 2 rue de la Houssinière, BP 92208 - 44322 Nantes, France
The present work proposes a paradigm for the analysis of social networks hidden within incomplete data models, based on the semantic mining of noisy corpora. A proof of concept is implemented and experimented on a partial database resulting from the capture of short text messages in line with the international project ‘Sms4science’.
Semantics, Social network services, Data mining, Noise reduction, Software, Noise measurement,
Christophe Thovex, "Hidden social networks analysis by semantic mining of noisy corpora", 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. 00, no. , pp. 868-875, 2016, doi:10.1109/ASONAM.2016.7752339