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 |
Appears in Collections: | Master |
File | Description | Size | Format | |
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Memoire Master_RSE_Détection de communautés (1).pdf | 597,55 kB | Adobe PDF | View/Open |
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