<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

Détection des communautés dans les réseaux sociaux d’entreprise

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.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.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/233
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

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Memoire Master_RSE_Détection de communautés (1).pdf
Size:
597.55 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections