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Tool for Analysis And Visualization of Communication Network Event Log

Student: Ervo Viktor

Supervisor: Irina A. Lomazova

Faculty: Faculty of Computer Science

Educational Programme: System and Software Engineering (Master)

Year of Graduation: 2018

One of the methods of communication network fault localization is the analysis of the visualized network model. This work is dedicated to designing a tool for analysis and visualization that allows creating a model of communication networks based on logs and provides interactive visualization of the created model in a form of a dynamic graph. The tool performs anomaly detection by analyzing eigenvectors of adjacency matrices of the dynamic graph in different periods of time to find possible faults and errors. Keywords: visualization, communication network, event log, graph, fault localization, anomaly detection, eigenvector analysis.

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