کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
977346 1480168 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Incorporating profile information in community detection for online social networks
ترجمه فارسی عنوان
درج اطلاعات پروفایل در تشخیص جامعه برای شبکه های اجتماعی آنلاین
کلمات کلیدی
ساختار جامعه، شبکه های اجتماعی آنلاین، اطلاعات پروفایل
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• We construct additional networks with users’ profile information.
• We propose methods to improve values of modularity.
• With our methods, partitions are more correlated with users’ characteristic features.

Community structure is an important feature in the study of complex networks. It is because nodes of the same community may have similar properties. In this paper we extend two popular community detection methods to partition online social networks. In our extended methods, the profile information of users is used for partitioning. We apply the extended methods in several sample networks of Facebook. Compared with the original methods, the community structures we obtain have higher modularity. Our results indicate that users’ profile information is consistent with the community structure of their friendship network to some extent. To the best of our knowledge, this paper is the first to discuss how profile information can be used to improve community detection in online social networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 405, 1 July 2014, Pages 226–234
نویسندگان
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