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Qarshi muhandislik-iqtisodiyotBog'liq 1. Ж.Н.Узоқов MAXSUS SON 2023-1 мақола нашрга чиқди.Discussion
As mentioned above the complex network topology is a fascinating topic that explores the
structure and function of various real-world systems, such as social networks, biological networks,
technological networks, and more. Different scientists have conducted research on this topic and
obtained various results, depending on their methods, models, and applications. For example,
Angélica Sousa da Mata
in her paper named
Complex Networks: a Mini-review
provides a brief
overview of complex networks, including fundamental quantities, examples of network models, and
the role of network topology in dynamical processes such as epidemics, rumor spreading, and
synchronization. The paper also discusses some of the main contributions and challenges in this field,
and provides references for further reading.
Coordination and Control of Complex Network Systems
With Switching Topologies: A Survey
by
Zhiyong Sun
,
Xiangyu Meng
, and
Brian D.O
. surveys the
coordination and control of complex network systems with switching network topologies, which
means that the network structure can change over time. The paper focuses on the relationships
between the switchings among different topology candidates and the network controllability, and
between the switchings among different topology candidates and the emergence of coordination
behaviors such as synchronization, consensus, and containment. The paper also reviews some of the
analytical approaches and techniques for studying the stability and performance of such systems. In
the
Topologies of Complex Networks: Functions and Structures
by
Lun Li
presented a novel approach
to model and analyze the topologies of complex networks, especially the router-level topology of the
Internet. The approach combines graph-theoretic properties, engineering intuition, and networking
reality, and aims to capture the essential features and functions of the network structure. The thesis
also proposes a new network generation algorithm that can produce realistic network models that
match the measured data well. Moreover, despite numerous studies on CNT, the application of CNT
in the field of ATC has not been sufficiently studied [9, 10, 11].
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