Resumen
Finding and selecting the appropriate personnel in work organizations has always been a problem. Companies need to exploit the potential of their employees to take advantage of their knowledge, connections and contacts, to engage in new projects and jobs or to move them to other positions. In doing their jobs employees establish contacts within the company and the business environment. Until the advent of the Internet, communication was carried out in a conventional manner and business did not allow to simply follow the links and communication between employees and their relationships with the business environment. Today, as part of e-business, employees communicate with each other, send and receive messages, simply put, create a social network. The analysis of these networks provides a wealth of information that can be used to promote business, find employeeswho represent the nodes of communication, but also provides a wealth of information on employees or those who are interested in the right jobs, who use social networks to post information about themselves. This paper explored the possibility of obtaining information relevant to the selection of internal human resources based on an analysis of corporate online social networks. Research methods are taken from the field of graph theory and social network analysis (SNA), whereas in addition to quantitative parameters of nodes also additional dimensions of data filtering are considered. This approach is called the extended SNA. In addition to demonstrating and explaining, the extended SNA has developed an application that simulates the communication between employees within a corporation, for the analysis and detection of suitable employees, and visualizes the results in the form of a graph.