Process Distribution in the Network Systems

Performing risk analysis of systems, evaluating reliability of technological objects, hazard of technological processes, we usually have to systems of network type and distribution of various processes in such systems. A well-known mathematical apparatus of diffusive processes example is dispersion in continuum medium (air, water, etc.). Process distribution in network systems is simpler, however, it muc h depends on network features. In this article theory of Markov chains is selected, distr ibutions of different processes in transitional regimes are analysed as well as iss ues of their stability. Created models may be used in many different ways, for example, for the analysis or viruses in computer networks, hazard distribution in transport system s regarding transportation of hazardous materials, etc.