An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks

المؤلفون المشاركون

Wang, Feifan
Chai, Senchun
Xia, Yuanqing
Zhang, Baihai

المصدر

Complexity

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-08-06

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الفلسفة

الملخص EN

Community structure, one of the most popular properties in complex networks, has long been a cornerstone in the advance of various scientific branches.

Over the past few years, a number of tools have been used in the development of community detection algorithms.

In this paper, by means of fusing unsupervised extreme learning machines and the k-means clustering techniques, we propose a novel community detection method that surpasses traditional k-means approaches in terms of precision and stability while adding very few extra computational costs.

Furthermore, results of extensive experiments undertaken on computer-generated networks and real-world datasets illustrate acceptable performances of the introduced algorithm in comparison with other typical community detection algorithms.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Feifan& Zhang, Baihai& Chai, Senchun& Xia, Yuanqing. 2018. An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136013

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Feifan…[et al.]. An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1136013

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Feifan& Zhang, Baihai& Chai, Senchun& Xia, Yuanqing. An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1136013

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1136013