Graph Visualization of the Characteristics of Complex Objects on the Example of the Analysis of Politicians

Abstract

The paper considers the task of analyzing complex interconnected objects using graph construction. There is no unified tool for constructing graphs. Some solutions can build graphs limited by the number of nodes, while others do not visually display data. The Gephi application was used to construct graphs for the research. Gephi has great functionality for building and analyzing graphs. The subject of research is a politician with a certain set of characteristics. In the paper an algorithm that enables to automate data collection on politicians was developed. One of the main methods of data collecting on the Internet is web scraping. Web scraping software may access the World Wide Web directly using the HTTP, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a software agent. The data was necessary for constructing graphs and their analysis. The use of graphs enables to see various types of relationships, including mediate. This methodology enables to change the attitude towards the analysis of multidi-mensional objects.

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“…Then, the speed, extensibility and scalability of the selected tool must be considered. The problematics of this class of tasks are described as ETL -Extract, Transform, Load or ELT -Extract, Load, Transform; their solution, as a rule, comes down to automating the following stages of working with data [7,8]: extraction (Extract) -this stage consists in extracting data from sources, while the data does not change regardless of its quality and is stored in the staging area; transformation (Transform) -at this stage, the data is grouped, converted to the desired format, cleaning and checking for completeness, duplicates, and so on are performed; reports are generated; loading (Load) -at this stage, the transformed data are loaded into storage; at the same time, both the complete and the changed subset of the data in storage can be reloaded.…”

“…Approaches to information visualization are the subject of active research [8,11]. It is important to note that the need for visualization arises at the stage of both the analysis of the initial information, which is due to the ability of human visual perception to detect patterns in the data, and the presentation of processing results for effective decision support [12].…”