دوشنبه 10 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Towards Linear Time Overlapping Community Detection in Social Networks |
| عنوان فارسی مقاله | به خط زمان به هم پیوسته تشخیص جامعه در شبکه های اجتماعی |
| مشخصات مقاله انگلیسی | |
| نشریه: Springer |
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| سال انتشار |
2012 |
| عنوان مجله |
Asia Conference on Knowledge Discovery and Data Mining |
| تعداد صفحات مقاله انگلیسی | 12 |
| رفرنس | دارد |
| تعداد رفرنس | 16 |
| چکیده مقاله | |
| چکیده |
Membership diversity is a characteristic aspect of social networks in which a person may belong to more than one social group. For this reason, discovering overlapping structures is necessary for realistic social analysis. In this paper, we present a fast algorithm1, called SLPA, for overlapping community detection in large-scale networks. SLPA spreads labels according to dynamic interaction rules. It can be applied to both unipartite and bipartite networks. It is also able to uncover overlapping nested hierarchy. The time complexity of SLPA scales linearly with the number of edges in the network. Experiments in both synthetic and real-world networks show that SLPA has an excellent performance in identifying both node and community level overlapping structures. |
| کلمات کلیدی |
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| دانلود | |
