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A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks
المؤلفون المشاركون
Xiong, Li
Liu, Hu-Chen
Wang, Guo-Zheng
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-09
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Community detection is an important analysis task for complex networks, including bipartite networks, which consist of nodes of two types and edges connecting only nodes of different types.
Many community detection methods take the number of communities in the networks as a fixed known quantity; however, it is impossible to give such information in advance in real-world networks.
In our paper, we propose a projection-free Bayesian inference method to determine the number of pure-type communities in bipartite networks.
This paper makes the following contributions: (1) we present the first principle derivation of a practical method, using the degree-corrected bipartite stochastic block model that is able to deal with networks with broad degree distributions, for estimating the number of pure-type communities of bipartite networks; (2) a prior probability distribution is proposed over the partition of a bipartite network; (3) we design a Monte Carlo algorithm incorporated with our proposed method and prior probability distribution.
We give a demonstration of our algorithm on synthetic bipartite networks including an easy case with a homogeneous degree distribution and a difficult case with a heterogeneous degree distribution.
The results show that the algorithm gives the correct number of communities of synthetic networks in most cases and outperforms the projection method especially in the networks with heterogeneous degree distributions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Guo-Zheng& Xiong, Li& Liu, Hu-Chen. 2019. A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks. Scientific Programming،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210774
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Guo-Zheng…[et al.]. A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks. Scientific Programming No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1210774
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Guo-Zheng& Xiong, Li& Liu, Hu-Chen. A Bayesian Inference Method Using Monte Carlo Sampling for Estimating the Number of Communities in Bipartite Networks. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210774
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210774
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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