UDC 004.827
ALGORITHMIC SUPPORT AND SOFTWARE FOR MODELING SOCIAL PERCOLATION PROCESSES IN RANDOM NETWORK STRUCTURES
A. D. Zaltsman, junior researcher, Federal State Budget Educational Institution of Higher Education «Moscow Technological University»; This email address is being protected from spambots. You need JavaScript enabled to view it.
A. S. Alyoshkin, PhD (engineering sciences), Associate Professor, Federal State Budget Educational Institution of Higher Education «Moscow Technological University»; This email address is being protected from spambots. You need JavaScript enabled to view it.
This work provides a short review of the existing methods of modeling and description of processes in social networks, shortcomings of the existing methods of network analysis are depicted. In particular, it was shown that these methods do not allow to reveal influence of networks density on the values of thresholds of percolation and their clustering to separate subgroups. Modeling and analysis of information processes occurring in social networks with a random structure is possible with the use of methods of the theory of percolation. In order to carry out this type of research by means of specialized software, authors developed and offered a number of algorithms as well as algorithmic software for creation of randomly composed network structures and research on their percolation processes.
Key words: algorithms for constructing random networks, algorithms for modeling network clustering and percolation, software for percolation modeling.