TY  - JOUR
T1  - The Online Social Networks Analysis: State of the Art
AU - El Kassiri, Asmae AU - Belouadha, Fatima-Zahra 
JO  - International Journal of Soft Computing
VL  - 14
IS  - 2
SP  - 33
EP  - 43
PY  - 2019
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2019.33.43
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2019.33.43
KW  - OSN
KW  -SNA
KW  -social mining
KW  -community
detection
KW  -link prediction
KW  -similarity analysis
KW  -recommendation
KW  -influence
KW  -trust
KW  -e-reputation
KW  -opinion
mining
KW  -experts detection
KW  -privacy and security on OSN
AB  - Nowadays, the Online Social Networks OSN
emergence has expanded the scope of these needs. In fact,
besides the direct links between users, the OSN have
various important information about user profiles, tastes
and interactions or activities. This information richness
has been exploited in the literature in particular social
mining techniques to answer new analytical purposes such
as influence analysis, trust analysis, opinion mining,
recommendation, e-reputation, protection of privacy and
detection of experts.
ER  -