INVESTIGATION OF SOFTWARE FOR ANALYSIS AND VISUALIZATION OF SOCIAL GRAPHIC STRUCTURES
DOI:
https://doi.org/10.26906/SUNZ.2018.5.128Keywords:
analysis of social networks, visualization of graphs, social graph, social networks, programmatic meansAbstract
The subject matter of the article is the process of analysis and visualization of social graphs of structures. The goal is to explore software tools for analyzing and visualizing social graph structures. The tasks to be solved are: to explore modern platforms for constructing social graphs and their statistical analysis, compare their advantages and disadvantages, examine the suitability of platforms for application for large datasets and the expediency of their use for the analysis of social networks. The following results are obtained: The most popular platforms on visualization of graph structures are considered. A comparative analysis of these platforms has been conducted from the point of view of the availability of a free license to use, their multiplatform, multiformity, as well as the ability to apply to large social networks and assess the influence of agents, the availability of open source. Conclusions. The main advantages of most software are support for many formats, a wide range of possibilities for mathematical and statistical analysis and conditionally free or free license. Among the shortcomings, it should be noted that not all platforms are designed to operate in conditions of high dynamic volumes received from social networks, unfortunately, in all software tools, there is no way to assess the influence of agents of social relations. To solve this problem, it is necessary to create software that analyzes information flows and determines the degree of influence of distributed information, as well as the level of mutual influence between agents of social communities.Downloads
References
Thelwall M. Big Data and Social Web Research Methods / M. Thelwall. – Wolverhampton: University of Wolverhampton, 2014. – 142 с.
Skold M. Social Network Visualization : дис. канд. наук з соц. комун. / Skold M. – Stockholm, 2008. – 61 с.
Hanneman R. Introduction to Social Network Methods / R.A. Hanneman. – Riverside: University of California, 2005. – 149 с.
Ferrara E. Mining and Analysis of Online Social Networks. : дис. докт. фіз.-мат. наук / Ferrara Emilio – Messina, 2012. – 176 с.
Suerdem A. Introduction to Social Network Analysis with UCINET / Ahmet K. Suerdem. – London: London School of Economics. – 31 с.
Batagelj V. Pajek Program for Analysis and Visualization of Large Networks / V. Batagelj, A. Mrvar. – Ljubljana: PdfLaTex, 2011. – 98 с.
Carley K. ORA: A Toolkit for Dynamic Network Analysis and Visualization / Kathleen M. Carley. – Pittsburgh: Carnegie Mellon University, 2014. – 13 с.
A statnet Tutorial / [S. Goodreau, M. Handcock, D. Hunter та ін.] // Journal of Statistical Software / [S. Goodreau, M. Handcock, D. Hunter та ін.]., 2008. – (Volume 24, Issue 9). – С. 1–26.
Wild F. Learning Analytics in R with SNA, LSA, and MPIA / F. Wild. – Oxford: Springer, 2016. – 275 с.
Vavruska M. MVE - 2 Visualization library / M. Vavruska, M. Frank., 2005. – 15 с
Huisman, M., Van Duijn, M.: Software for statistical analysis of social networks/ Van Dijkum C., Blasius, J. Kleijer H., Van Hilten B. - The Sixth International Conference on Logic and Methodology, Amsterdam, The Netherlands ,2004. - 21 c.
Liebowitz J. Linking social network analysis with the analytic hierarchy process for knowledge mapping in organizations / Jay Liebowitz // Journal of knowledge managemen / Jay Liebowitz. – Maryland: Emerald Group Publishing Limited, 2005. – С. 76–86.
Hansen D. Analyzing Social Media Networks: Learning by Doing with NodeXL / D. Hansen, B. Shneiderman, M. Smith. – Maryland, 2009. – 47 с.
Aigner M. Analysis of social networks with focus on ram exchange in four communities in the Ethiopian highland / Marina Aigner. – Wien: University for Natural Resources and Life Sciences, 2012. – 91 с.
Stamelos I. Social Networks Visualizer.Software Requirements Specification Version 1.0 / Ioannis Stamelos. – Thessaloniki: Aristotle University of Thessaloniki, 2012. – 38 с.
