@article{MAKHILLIJSC201914221462,
    title = {The Online Social Networks Analysis: State of the Art},
    journal = {International Journal of Soft Computing},
    volume = {14},
    number = {2},
    pages = {33-43},
    year = {2019},
    issn = {1816-9503},
    doi = {ijscomp.2019.33.43},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2019.33.43},
    author = {Asmae and},
    keywords = {OSN,SNA,social mining,community
detection,link prediction,similarity analysis,recommendation,influence,trust,e-reputation,opinion
mining,experts detection,privacy and security on OSN},
    abstract = {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.}
    }