کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9727754 | 1480208 | 2005 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detecting communities in large networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Detecting communities in large networks Detecting communities in large networks](/preview/png/9727754.png)
چکیده انگلیسی
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and link orientation. Since the method detects efficiently clustered nodes in large networks even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social and information networks. We test the algorithm on a large-scale data-set from a psychological experiment of word association. In this case, it proves to be successful both in clustering words, and in uncovering mental association patterns.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 352, Issues 2â4, 15 July 2005, Pages 669-676
Journal: Physica A: Statistical Mechanics and its Applications - Volume 352, Issues 2â4, 15 July 2005, Pages 669-676
نویسندگان
A. Capocci, V.D.P. Servedio, G. Caldarelli, F. Colaiori,