A GRAPH-BASED MODEL FOR THE INFECTION PHENOMENON
Author(s) -
Cătălin Bulancea,
Mitică Craus
Publication year - 2014
Publication title -
international journal of computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.2.3.224
Subject(s) - implementation , computer science , graph , mechanism (biology) , phenomenon , theoretical computer science , process (computing) , physics , programming language , quantum mechanics
A graph-based model is proposed for studying interactions and evolution in infection process. There are defined and tested mutational and decisional structures for pathogen agents and a reaction mechanism for the host. MPI and C# implementations were used to make some simulations. The results have shown that artificial system evolution is closed to the evolution of the real system.
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