%0 Journal Article %T Node Classification in Social Network by Distributed Learning Automata %J Journal of Information Systems and Telecommunication (JIST) %I Iranian Academic Center for Education,Culture and Research %Z 2322-1437 %A Ahmad Rahnama Zadeh %A meybodi meybodi %A Masoud Taheri Kadkhoda %D 2017 %\ 2017/06/25 %V 18 %N 5 %P 1-10 %! Node Classification in Social Network by Distributed Learning Automata %K Social Network %K %K Classification %K %K Distributed Learning Automata %K %K Node Labeling. %R 10.7508/jist.2017.18.005 %X 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. %U http://rimag.ir/fa/Article/14943