Open AccessPreferential attachment graphs as agent interaction structure
Author(s) -
M. N. Yudina
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012176
Subject(s) - computer science , preferential attachment , graph , network formation , network structure , telecommunications network , distributed computing , calibration , theoretical computer science , artificial intelligence , complex network , computer network , mathematics , world wide web , statistics
The preferential attachment graphs are considered as the basis for constructing agent interaction structures. The choice of such a structure has a great influence on the results of network processes simulation. Calibration (adjusting generation parameters) of the preferential attachment graphs improves the accuracy of the simulated processes results. An increase in the quality of calibration leads to the construction of adequate graph models. It can be used in processes simulation of telecommunication networks, social networks, cell molecular networks and other large networks of the modern networked world.