Skip navigation
Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/233
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBELBACHIR, ABderrahman-
dc.contributor.authorANCEUR, IBrahim El Arabi-
dc.date.accessioned2022-04-17T13:36:50Z-
dc.date.available2022-04-17T13:36:50Z-
dc.date.issued2019-
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/233-
dc.descriptionPr. Mimoun MALKI Encadreur Dr. Abdelhamid MALKI co-encadreuren_US
dc.description.abstractSocial networks have become “common use” for most people. Indeed, progress in technology combined with extended Internet facilities allows the emergence of multiple social connections. Social networking is now a foundation for many activities of individuals, as it provides them a fast way to keep in touch with acquaintances, friends, relatives …etc. It allows an easy access to information and a quick way to transfer messages. In the business field, companies have now understood that they can take great advantage in integrating these new means of communication and sharing. For any company, this raises the problem of choosing the right type of social network that would fit with its own policy of communication and knowledge management. In this thesis we will present some preliminary notions about social networks, enterprise social networks and state of art of the community detection domain on social networks that will end with a comparative study of different classifications of social networks community detection methods.en_US
dc.language.isofren_US
dc.subjectSocial Networksen_US
dc.subjectEnterprise Social Networksen_US
dc.subjectCollaborative Intraneten_US
dc.subjectData Sharingen_US
dc.subjectCommunity Managementen_US
dc.subjectWeben_US
dc.subjectCommunity Detectionen_US
dc.subjectSocial Network Analysisen_US
dc.subjectFeeling Analysisen_US
dc.subjectData Miningen_US
dc.titleDétection des communautés dans les réseaux sociaux d’entrepriseen_US
dc.typeThesisen_US
Appears in Collections:Master

Files in This Item:
File Description SizeFormat 
Memoire Master_RSE_Détection de communautés (1).pdf597,55 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.