Cluster Based Architecture and Algorithm to Improve the Design of Social Networks

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Bibliographische Detailangaben
Beteiligte: Dutta, Saurab, Roy, Payel
In: International Journal of Virtual Communities and Social Networking, 9, 2017, 3, S. 29-43
veröffentlicht:
IGI Global
Medientyp: Artikel, E-Artikel

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weitere Informationen
Umfang: 29-43
ISSN: 1942-9010
1942-9029
DOI: 10.4018/ijvcsn.2017070103
veröffentlicht in: International Journal of Virtual Communities and Social Networking
Sprache: Englisch
Schlagwörter:
Kollektion: IGI Global (CrossRef)
Inhaltsangabe

<jats:p>In a social network people are connected by relationships, business purpose or transaction activity. The increasing demand of social network analysis and how to improve the architecture is of utmost importance for the organizations who are regularly trying to improve the service through social network analysis. Social network analysis views social relationship in terms of network theory. Social networks connect people at very low cost and this network acts as a customer relationship management tool for increasing sales of organization in terms of goods and services. Different models are proposed and utilized in different platforms. In this model, the authors have proposed a cluster-based structure to improve performance of social networks.</jats:p>