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الرئيسية > Topic Oriented Community Detec...>الوصف

Topic Oriented Community Detection of Rating Based Social Networks

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Reihanian, Ali (Author)
مؤلفين آخرين: Minaei-Bidgoli, Behrouz (Co-Author), Alizadeh, Hosein (Co-Author)
المجلد/العدد: مج28, ع3
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2016
الصفحات: 303 - 310
DOI: 10.33948/0584-028-003-006
ISSN: 1319-1578
رقم MD: 973944
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
تكنولوجيا المعلومات | شبكات التواصل الاجتماعي | شبكات الاتصالات | الخوارزميات
كلمات المؤلف المفتاحية:
Content Analysis | Topical Community | Community Detection | Modularity | Purity
رابط المحتوى:
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المستخلص: Nowadays, real world social networks contain a vast range of information including shared objects, comments, following information, etc. Finding meaningful communities in this kind of networks is an interesting research area and has attracted the attention of many researchers. The community structure of complex networks reveals both their organization and hidden relations among their constituents. Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis. In recent years, a number of researches have proposed approaches which consider both the contents that are interchanged in networks, and the topological structures of the networks in order to find more meaningful communities. In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different objects (like movies) by means of rating is demonstrated by performing extensive experiments.
ISSN: 1319-1578

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