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|3 10.33948/0584-028-003-006
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| 041 |
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|a eng
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| 044 |
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|b السعودية
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| 100 |
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|9 525198
|a Reihanian, Ali
|e Author
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| 245 |
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|a Topic Oriented Community Detection of Rating Based Social Networks
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| 260 |
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|b جامعة الملك سعود
|c 2016
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| 300 |
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|a 303 - 310
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| 336 |
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|a بحوث ومقالات
|b Article
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| 520 |
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|b 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.
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| 653 |
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|a تكنولوجيا المعلومات
|a شبكات التواصل الاجتماعي
|a شبكات الاتصالات
|a الخوارزميات
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| 692 |
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|b Content Analysis
|b Topical Community
|b Community Detection
|b Modularity
|b Purity
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| 700 |
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|9 525199
|a Minaei-Bidgoli, Behrouz
|e Co-Author
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| 700 |
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|9 525201
|a Alizadeh, Hosein
|e Co-Author
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| 773 |
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|c 006
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 003
|m مج28, ع3
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 028
|x 1319-1578
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| 856 |
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|u 0584-028-003-006.pdf
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| 930 |
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|d y
|p y
|q n
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| 995 |
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|a science
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| 999 |
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|c 973944
|d 973944
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