کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10481666 933203 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy overlapping community detection based on local random walk and multidimensional scaling
ترجمه فارسی عنوان
تشخیص جامعه مشترک فازی با استفاده از پیاده روی تصادفی و مقیاس چند بعدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
A fuzzy overlapping community is an important kind of overlapping community in which each node belongs to each community to different extents. It exists in many real networks but how to identify a fuzzy overlapping community is still a challenging task. In this work, the concept of local random walk and a new distance metric are introduced. Based on the new distance measurement, the dissimilarity index between each node of a network is calculated firstly. Then in order to keep the original node distance as much as possible, the network structure is mapped into low-dimensional space by the multidimensional scaling (MDS). Finally, the fuzzy c-means clustering is employed to find fuzzy communities in a network. The experimental results show that the proposed algorithm is effective and efficient to identify the fuzzy overlapping communities in both artificial networks and real-world networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 392, Issue 24, 15 December 2013, Pages 6578-6586
نویسندگان
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