Title: Complex networks applied to the analysis of the dynamics of social systems

Authors: Abdulsattar A. Hamad; Muayyad Mahmood Khalil; Ahmed S. Al-Obeidi; Saad Fawzi Al-Azzawi; Lellis Thivagar

Addresses: College of Education, University of Samarra, Samarra, Iraq ' Department of Mathematics, College of Education for Pure Sciences, Tikrit University, Tikrit, Iraq ' Speciality of Mathematics, Gifted School of Nineveh, Directorate of Education (Mosul), Mosul, Iraq ' Department of Mathematics, College of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq ' School of Mathematics, Madurai Kamaraj University, Madurai, Tamil Nadu, India

Abstract: Social systems' inherent structure has an impact on how they act. The system's internal structure is determined by the parts that make it up and the connections that link them. The system's behaviour dynamics through time are determined by interactions among its components, and determining the internal structure of a social system in order to analyse its behaviour over time is a very complex process. The analysis of the system is complicated due to the numerous variables whose behaviour is challenging to quantify through functional relationships, which also contributes to the complexity of the network or graph that must be constructed to represent the system. The best data structure for modelling complex systems is a network or a directed graph, which can be used to analyse and study the dynamics of the system in order to make decisions.

Keywords: complex networks; social dynamics; Vensim PLE; decision making.

DOI: 10.1504/IJGUC.2024.136738

International Journal of Grid and Utility Computing, 2024 Vol.15 No.1, pp.97 - 103

Received: 04 Nov 2022
Accepted: 07 Jan 2023
Published online: 19 Feb 2024 *

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