CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Network Nodes Community Detection Based on Deep Learning

عنوان مقاله: Network Nodes Community Detection Based on Deep Learning
شناسه ملی مقاله: IRANWEB04_005
منتشر شده در چهارمین کنفرانس بین المللی وب پژوهی در سال 1397
مشخصات نویسندگان مقاله:

Mohammad Mehdi Keikha - PhD Candidate, University of Tehran, Tehran, Iran Faculty member, University of Sistan and Baluchestan, Zahedan, Iran
Maseud Rahgozar - Associate Professor, University of Tehran, Tehran

خلاصه مقاله:
Network clustering is one of the problems that has attracted many researchers in recent years. In this issue, each user is associated with a specific community based on the various features of the network, including the structure. In the recent years, deep learning is widely used to extract the feature vector of nodes then the vectors are used to find the community of each node. In this paper, a network representation learning algorithm is presented based on the information of the neighbors of each node and communities on the network. The results show that our nodes’ representation method offers a better quality clustering of social networking users than the previous network representation learning methods.

کلمات کلیدی:
Network Clustering, Deep Learning, Node Representation Vector, Network Communities

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/773303/