CONSTRUCTING THE DIFFUSION-LIKE MODEL OF BICOMPONENT KNOWLEDGE POTENTIAL DISTRIBUTION
| Autor: | Volodymyr Pasichnyk, Natalia Kunanets, Andrii Bomba, Mariia Nazaruk |
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| Rok vydání: | 2017 |
| Předmět: |
Clique
Diffusion (acoustics) Theoretical computer science Distribution (number theory) Computer Networks and Communications Computer science Process (engineering) 05 social sciences Redistribution (cultural anthropology) 050905 science studies Hardware and Architecture Phenomenon 0502 economics and business Computer Science (miscellaneous) 0509 other social sciences 050203 business & management Software Information Systems |
| Zdroj: | International Journal of Computing. :74-81 |
| ISSN: | 2312-5381 1727-6209 |
| DOI: | 10.47839/ijc.16.2.883 |
| Popis: | The concept of knowledge potential of agents which serves as a characteristic of a certain amount of knowledge of any individual accumulated over a certain period of life is presented in the paper. The original model approach to information processes of knowledge potential dissemination based on physical analogies, namely the phenomenon of diffusion, is proposed. The redistribution process of two-component knowledge potential is described and the results of numerical experiments are given. The diffusion-like models of knowledge potential distribution in the social and communicative educational environment of the city are built. In particular, the attention is focused on the description (modeling) of knowledge potential redistribution processes within a given social and communicative community (clique), with well-established external and internal relationship between the members (agents) of educational and training processes. Solutions to the modeling problem of interaction (interference) between the knowledge potential components of different agents within a given clique are proposed, a multi-vector of knowledge potential is considered and the results of numerical experiments are given. |
| Databáze: | OpenAIRE |
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