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Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/233
Title: Détection des communautés dans les réseaux sociaux d’entreprise
Authors: BELBACHIR, ABderrahman
ANCEUR, IBrahim El Arabi
Keywords: Social Networks
Enterprise Social Networks
Collaborative Intranet
Data Sharing
Community Management
Web
Community Detection
Social Network Analysis
Feeling Analysis
Data Mining
Issue Date: 2019
Abstract: Social 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.
Description: Pr. Mimoun MALKI Encadreur Dr. Abdelhamid MALKI co-encadreur
URI: https://repository.esi-sba.dz/jspui/handle/123456789/233
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