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دانلود رایگان مقاله تجزیه و تحلیل الگوریتم های تشخیص همپوشانی در شبکه های اجتماعی

عنوان مقاله
عنوان مقاله

An Analysis of Overlapping Community Detection Algorithms in Social Networks

عنوان فارسی مقاله تجزیه و تحلیل الگوریتم های تشخیص همپوشانی در شبکه های اجتماعی

مشخصات مقاله انگلیسی
نشریه: Elsevier Elsevier
سال انتشار

2016

عنوان مجله

Procedia Computer Science

تعداد صفحات مقاله انگلیسی 10
رفرنس دارد
تعداد رفرنس 26

چکیده مقاله
چکیده

In the field of research, Social Network Analysis is prevalent domain which pulls the attention of many data mining experts. Social network analysis is the specific field of sociology and anthropology. It shares a number of characteristics common to real network. Some real networks like Facebook, Twitter exhibit the concept of community structure within the network. Social network is represented as a network graph. Detecting the communities involves finding the densely connected nodes. Overlapping communities are possible if a node is a member of more than one community. This paper discusses various modularity based approaches on detecting the overlapping communities in the social networks. This work aims in providing the characteristics and limitations of modularity based overlapping community detection algorithms.

کلمات کلیدی
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ارسال شده در تاریخ 1397/05/08


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