مقاله


کد مقاله : 1395061719063321

عنوان مقاله : Node Classification in Social Network by Distributed Learning Automata

نشریه شماره : 18 Spring 2017

مشاهده شده : 855

فایل های مقاله :


نویسندگان

  نام و نام خانوادگی پست الکترونیک مرتبه علمی مدرک تحصیلی مسئول
1 Ahmad Rahnama Zadeh rahnamazade@gmail.com Post Graduate Student M.Sc
2 Mohammad Reza Meybodi mmeybodi@aut.ac.ir Associate Professor PhD
3 Masoud Taheri Kadkhoda taheri.masood@gmail.com Graduate M.Sc

چکیده مقاله

The aim of this article is improving the accuracy of node classification in social network using Distributed Learning Automata (DLA). In the proposed algorithm using a local similarity measure, new relations between nodes are created, then the supposed graph is partitioned according to the labeled nodes and a network of Distributed Learning Automata is corresponded on each partition. In each partition the maximal spanning tree is determined using DLA. Finally nodes are labeled according to the rewards of DLA. We have tested this algorithm on three real social network datasets, and results show that the expected accuracy of presented algorithm is achieved.