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Paper
title

Monitoring Network Streams based on Eigenvalues of Adjacency Matrix

Credit to Download: 1 | Page Numbers 8 | Abstract Views: 132
Year: 2017
COI code: IIEC14_056
Paper Language: English

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Authors Monitoring Network Streams based on Eigenvalues of Adjacency Matrix

  Hossein Hazrati-Marangaloo - faculty of Industrail Engineering, Iran University of Science and Technology, Tehran, Iran
  Rassoul Noorossana - faculty of Industrail Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract:

Network analysis is a fundamental tool for studying various systems in the social, biological, and engineering domains. A new surveillance plan is proposed in this paper to monitor network streams. The proposed plan constructs a statistic based on the Eigen values of a baseline adjacency matrix. The baseline adjacency matrix is defined using a likelihood-ratio test on the in-degree and out-degree of the individuals in the network. The proposed plan is applied to both simulated and real networks, and achieved Run Lengths are analyzed. For the simulated networks, results indicate that the proposed plan outperforms the existing surveillance plans and is capable of detecting both local and global anomalies. The proposed plan is also employed to monitor the contracting network of Tehran Municipality as a real world network. Results reveal that the roposed plan is also applicable to detect anomalies in real world networks.

Keywords:

Social Network Monitoring; Baseline Adjacency Matrix; Eigen Values; Likelihood-ratio Test

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COI code: IIEC14_056

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Hazrati-Marangaloo, Hossein & Rassoul Noorossana, 2017, Monitoring Network Streams based on Eigenvalues of Adjacency Matrix, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_056.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: (Hazrati-Marangaloo, Hossein & Rassoul Noorossana, 2017)
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The University/Research Center Information:
Type: state university
Paper No.: 20366
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

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