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blaise Ngonmang
blaise Ngonmang
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Verified email at univ-paris13.fr
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Cited by
Year
Local community identification in social networks
B Ngonmang, M Tchuente, E Viennet
Parallel Processing Letters 22 (01), 1240004, 2012
582012
Churn prediction in a real online social network using local community analysis
B Ngonmang, E Viennet, M Tchuente
2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012
462012
An efficient method for mining the maximal α-quasi-clique-community of a given node in complex networks
P Conde-Cespedes, B Ngonmang, E Viennet
Social Network Analysis and Mining 8 (1), 20, 2018
152018
Monetization and services on a real online social network using social network analysis
B Ngonmang, E Viennet, S Sean, P Stepniewski, F Fogelman-Soulié, ...
2013 IEEE 13th International Conference on Data Mining Workshops, 185-193, 2013
132013
Toward community dynamic through interactions prediction in complex networks
B Ngonmang, E Viennet
2013 International Conference on Signal-Image Technology & Internet-Based …, 2013
72013
Approximation of the Maximal Alpha--Consensus Local Community Detection Problem in Complex Networks
P Conde-Céspedes, B Ngonmang, E Viennet
2015 11th International Conference on Signal-Image Technology & Internet …, 2015
52015
Community analysis and link prediction in dynamic social networks
B Ngonmang, E Viennet, M Tchuente, V Kamga
Computing in Research and Development in Africa: Benefits, Trends …, 2015
52015
Predicting users behaviours in distributed social networks using community analysis
B Ngonmang, E Viennet, M Tchuente
State of the Art Applications of Social Network Analysis, 119-138, 2014
52014
Dynamique des communautés par prévision dinteractions dans les réseaux sociaux
B Ngonmang, E Viennet
EGC 2014, 2014
32014
Identification de communautés locales dans les réseaux sociaux
B Ngonmang, M Tchuente, E Viennet
AGS, Conférence CAP, 16-27, 2011
32011
Framework d'analyse de grands réseaux sociaux distribués.
B NGONMANG, E VIENNET
Framework, 2013
2013
A method for the Approximation of the Maximal α− Consensus Local Community detection problem in Complex Networks
P CONDE-Cespedes, B NGONMANG, E VIENNET
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Articles 1–12