Magamadov R.S., Molodchenkov A.I. —
Development of a method for assessing the interaction of employees using social network analysis
// Software systems and computational methods.
– 2018. – ¹ 3.
– P. 1 - 22.
DOI: 10.7256/2454-0714.2018.3.26588 URL: http://en. nbpublish.com/library_read_article.php?id=26588
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The article is devoted to the development of methods for assessing the effectiveness of work collectives on the basis of social networking technologies. The main purpose of the methods being developed is to assess the effectiveness of employee interaction in the work processes. Various methods for analyzing social networks are considered, a number of key metrics have been obtained on the basis of which analytical and visual models of social networks have been built - sociograms. The paper briefly presented the main characteristics and principles of the social network, the technological process and their components. the review of the basic mechanisms of working with these concepts was conducted, and the notion of analysis of social networks and its main types was studied. Next, 4 basic types of metrics obtained in social network models of different work processes for measuring performance were formalized and described in detail. In the course of the work social networks and their graphical, numerical display on the basis of real log files of events of various organizations from different spheres were constructed. Models and calculations were carried out within the framework of ProM software. Based on the constructed social networks, the main types of metrics were obtained and analyzed, their comparison was made for different types of events, different spheres of companies. Based on the comparison of results, the main advantages and disadvantages of the effectiveness of the organization of the working process of the companies and individual participants in the process, in particular, were revealed.
efficiency, technological process, node, networks, analysis, social network analysis, work of employees, interaction, metrics, log file
Process mining: Event logs [Elektronnyy resurs]. Rezhim dostupa: http://www.processmining.org/logs/start (Data obrashcheniya: 10.03.2018)
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