Supercomputer Simulation of Critical Phenomena in Complex Social Systems
Peter M.A Sloot , Janusz Hołyst , George Kampis , Michael H. Lees , Sergey A. Mityagin , Sergey V. Ivanov , Klavdiya O. Bochenina , Valentina Y. Guleva , Ksenia D. Mukhina , Denis A. Nasonov , Nikolay A. Butakov , Vasiliy N. Leonenko , Anastasia A. Lantseva , Alexander V. Boukhanovsky
AbstractThe paper describes a problem of computer simulation of critical phenomena in complex social systems on a petascale computing systems in frames of complex networks approach. The three-layer system of nested models of complex networks is proposed including aggregated analytical model to identify critical phenomena, detailed model of individualized network dynamics and model to adjust a topological structure of a complex network. The scalable parallel algorithm covering all layers of complex networks simulation is proposed. Performance of the algorithm is studied on different supercomputing systems. The issues of software and information infrastructure of complex networks simulation are discussed including organization of distributed calculations, crawling the data in social networks and results visualization. The applications of developed methods and technologies are considered including simulation of criminal networks disruption, fast rumors spreading in social networks, evolution of financial networks and epidemics spreading.
|Journal series||Scientific and Technical Journal of Information Technologies, Mechanics and Optic, ISSN 2226-1494, e-ISSN 2500-0373, (0 pkt)|
|Publication size in sheets||1.4|
|Keywords in English||сritical phenomena, complex networks, supercomputer simulation, dynamical processes, parallel algorithm, epidemics spreading, criminal networks, financial networks|
|Score|| = 0.0, 05-09-2019, ArticleFromJournal|
= 5.0, 05-09-2019, ArticleFromJournal
|Citation count*||1 (2019-11-13)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.