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title

Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks

Credit to Download: 1 | Page Numbers 22 | Abstract Views: 18
Year: 2020
COI code: JR_JADM-8-1_012
Paper Language: English

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Authors Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks

  S. Roohollahi - Computer Engineering Department, Kerman Branch, Islamic Azad University, Kerman, Iran.
  A. Khatibi Bardsiri - Computer Engineering Department, Kerman Branch, Islamic Azad University, Kerman, Iran.
  F. Keynia - Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences; Graduate University of Advanced Technology, Kerman, Iran.

Abstract:

Social networks are streaming, diverse and include a wide range of edges so that continuously evolves over time and formed by the activities among users (such as tweets, emails, etc.), where each activity among its users, adds an edge to the network graph. Despite their popularities, the dynamicity and large size of most social networks make it difficult or impossible to study the entire network. This paper proposes a sampling algorithm that equipped with an evaluator unit for analyzing the edges and a set of simple fixed structure learning automata. Evaluator unit evaluates each edge and then decides whether edge and corresponding node should be added to the sample set. In The proposed algorithm, each main activity graph node is equipped with a simple learning automaton. The proposed algorithm is compared with the best current sampling algorithm that was reported in the Kolmogorov-Smirnov test (KS) and normalized L1 and L2 distances in real networks and synthetic networks presented as a sequence of edges. Experimental results show the superiority of the proposed algorithm.

Keywords:

Evaluator unit, Social networks, Network sampling, Streaming sampling, . Fix Learning automata

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COI code: JR_JADM-8-1_012

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Roohollahi, S.; A. Khatibi Bardsiri & F. Keynia, 2020, Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks, Journal of Artificial Intelligence & Data Mining 8 (1), https://www.civilica.com/Paper-JR_JADM-JR_JADM-8-1_012.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Roohollahi, S.; A. Khatibi Bardsiri & F. Keynia, 2020)
Second and more: (Roohollahi; Khatibi Bardsiri & Keynia, 2020)
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Scientometrics

The University/Research Center Information:
Type: Azad University
Paper No.: 6755
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