Detecting Communities in 2-Mode Networks via Fast Nonnegative Matrix Trifactorization
المؤلفون المشاركون
Yang, Liu
Xin-sheng, Ji
Caixia, Liu
Tao, Wang
Mingyan, Xu
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-02
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
With the rapid development of the Internet and communication technologies, a large number of multitype relational networks widely emerge in real world applications.
The bipartite network is one representative and important kind of complex networks.
Detecting community structure in bipartite networks is crucial to obtain a better understanding of the network structures and functions.
Traditional nonnegative matrix factorization methods usually focus on homogeneous networks, and they are subject to several problems such as slow convergence and large computation.
It is challenging to effectively integrate the network information of multiple dimensions in order to discover the hidden community structure underlying heterogeneous interactions.
In this work, we present a novel fast nonnegative matrix trifactorization (F-NMTF) method to cocluster the 2-mode nodes in bipartite networks.
By constructing the affinity matrices of 2-mode nodes as manifold regularizations of NMTF, we manage to incorporate the intratype and intratype information of 2-mode nodes to reveal the latent community structure in bipartite networks.
Moreover, we decompose the NMTF problem into two subproblems, which are involved with much less matrix multiplications and achieve faster convergence.
Experimental results on synthetic and real bipartite networks show that the proposed method improves the slow convergence of NMTF and achieves high accuracy and stability on the results of community detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Liu& Tao, Wang& Xin-sheng, Ji& Caixia, Liu& Mingyan, Xu. 2015. Detecting Communities in 2-Mode Networks via Fast Nonnegative Matrix Trifactorization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075107
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Liu…[et al.]. Detecting Communities in 2-Mode Networks via Fast Nonnegative Matrix Trifactorization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075107
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Liu& Tao, Wang& Xin-sheng, Ji& Caixia, Liu& Mingyan, Xu. Detecting Communities in 2-Mode Networks via Fast Nonnegative Matrix Trifactorization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075107
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1075107
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر