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Global Network Structures and Problems of Aggregated Evaluation

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Abstract:

This article covers the problem of processing of Big Data that describe process of complex networks and network systems operation. It also introduces the notion of hierarchical network systems combination into associations and conglomerates alongside with complex networks combination into multiplexes. The analysis is provided for methods of global network structures study depending on the purpose of the research. Also the main types of information flows in complex hierarchical network systems being the basic components of associations and conglomerates are covered. The main approaches for the formation of generalized conclusions about operation quality of complex hierarchical network systems are analyzed. Advantages and drawbacks of the “weakest” element method and a weighted linear aggregation method are determined. Nonlinear aggregation method is proposed for evaluating the quality of the system, which consists of elements of the same priority. Hybrid approaches to form generalized conclusions are developed based on the main aggregation methods. It is shown that they allow to obtain more reliable aggregation results.

Info:

Periodical:
International Frontier Science Letters (Volume 8)
Pages:
31-45
DOI:
https://doi.org/10.18052/www.scipress.com/IFSL.8.31
Citation:
D. Polishchuk and O. Polishchuk, "Global Network Structures and Problems of Aggregated Evaluation", International Frontier Science Letters, Vol. 8, pp. 31-45, 2016
Online since:
Jun 2016
Authors:
Dmytro Polishchuk, Olexandr Polishchuk
Keywords:
Aggregation, Association, Big Data, Complex System, Conglomerate, Continuous Monitoring, Evaluation, Multiplex, Network
Export:
RIS, BibTeX, Text
Distribution:
Open Access

Creative Commons License
This work is licensed under a
Creative Commons Attribution 4.0 International License

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