Models and methods of complex evaluation of complex network and hierarchically network systems

TL;DR

This paper develops flow models and evaluation methods for complex hierarchical network systems, focusing on their structure, resilience, and community detection to improve system analysis and operation.

Contribution

It introduces new flow-based models, parameters, and a comprehensive evaluation methodology for hierarchical networks, enhancing analysis of system structure and resilience.

Findings

Defined flow characteristics and system structure analysis methods.

Developed criteria for system element quality and criticality.

Demonstrated efficiency in identifying optimal operation modes.

Abstract

The flow models of complex network system are developed and main flow characteristics of its elements are defined. Those characteristics are applied for determining actual structure of the system, analyzing its development on all lifecycle stages and finding alternative flow directions that bypass isolated areas of network. Influence and betweenness parameters of components of network systems are defined. Using those parameters, the conditions were studied under which system is resistant to negative internal and external influence. The notion of flow core of complex network systems is defined, that allows to distinguish the most important components of system structure in terms of operation to solve the problem of finding communities within the network. The notions of p-core and kernel of mono flow partially overlapped multilayered network are defined that allow to determine components of system structure that play the most important role in implementation of interactions between systems. The methodology is developed for complex evaluation of quality of complex hierarchical network systems. This methodology combines the interconnected methods of local, forecasting, interactive and aggregated analysis of system components behavior on all hierarchy levels. It is demonstrated that application of proposed complex evaluation methodology is efficient for solving problem of defining practically possible criteria of network system element quality, novelty detection, determining critical and optimal system operation modes and selecting optimal system of given class of systems.