Dynamics of Networks With Stochastically Switched Connections

ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1 ◽

10.1115/dscc2011-6169 ◽

2011 ◽

Author(s):

Igor Belykh ◽

Martin Hasler

Keyword(s):

Asymptotic Behavior ◽

Network Structure

This talk discusses the influence of network structure on the dynamics of networks with fast on-off stochastic connections. It is investigated to what extent the trajectories of a stochastically switched (blinking) network follow the corresponding trajectories of its averaged analog where the stochastic connection are replaced with static ones. Four cases have to be distinguished, depending on whether or not the averaged system has a unique attractor and whether or not the attractors are invariant under the dynamics of the blinking system. The corresponding asymptotic behavior of the trajectories of the blinking system is described and illustrative examples are given.

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Analysis of a network’s asymptotic behavior via its structure involving its strongly connected components

Network Science ◽

10.1017/nws.2019.24 ◽

2019 ◽

Vol 8 (S1) ◽

pp. S82-S109 ◽

Cited By ~ 1

Author(s):

Jan Treur

Keyword(s):

Asymptotic Behavior ◽

Network Structure ◽

Linear Functions ◽

Connected Components ◽

Network Behavior ◽

Discussion Section ◽

Strongly Connected Components ◽

Structure Characteristics ◽

Strongly Connected ◽

The One

AbstractIn this paper, it is addressed how network structure can be related to asymptotic network behavior. If such a relation is studied, that usually concerns only strongly connected networks and only linear functions describing the dynamics. In this paper, both conditions are generalized. A couple of general theorems is presented that relates asymptotic behavior of a network to the network’s structure characteristics. The network structure characteristics, on the one hand, concern the network’s strongly connected components and their mutual connections; this generalizes the condition of being strongly connected to a very general condition. On the other hand, the network structure characteristics considered generalize from linear functions to functions that are normalized, monotonic, and scalar-free, so that many nonlinear functions are also covered. Thus, the contributed theorems generalize the existing theorems on the relation between network structure and asymptotic network behavior addressing only specific cases such as acyclic networks, fully, and strongly connected networks, and theorems addressing only linear functions. This paper was invited as an extended (by more than 45%) version of a Complex Networks’18 conference paper. In the discussion section, the differences are explained in more detail.

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An alter-centric perspective on employee innovation: The importance of alters’ creative self-efficacy and network structure.

Journal of Applied Psychology ◽

10.1037/apl0000220 ◽

2017 ◽

Vol 102 (9) ◽

pp. 1360-1374 ◽

Cited By ~ 20

Author(s):

Travis J. Grosser ◽

Vijaya Venkataramani ◽

Giuseppe (Joe) Labianca

Keyword(s):

Network Structure ◽

Self Efficacy ◽

Creative Self

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Türkiye'de iller arası göçlerin nodexl ile sosyal ağ analizi

GÖÇ DERGİSİ ◽

10.33182/gd.v4i1.573 ◽

2017 ◽

Vol 4 (1) ◽

pp. 82-109 ◽

Cited By ~ 1

Author(s):

Mustafa Yakar ◽

Fatma Sert Eteman

Keyword(s):

Network Structure ◽

Population Data ◽

Single Mode ◽

Turkish Population ◽

Place Of Birth ◽

Place Of Residence ◽

Migration Flow ◽

Population Structures ◽

The Republic ◽

Provincial Scale

Türkiye'de 20.yy'ın ortasından itibaren başlayan iç göçler zamanla kurulan göçmen ağları ile süreklilik kazanmış ve ülke içinde nüfusun kır-kent dağılımını değiştirecek boyutlara erişmiştir. Araştırma, göçün doğum yeri verisinden hareketle ikamet edilen yerdeki nüfus miktarına göre alınan ve verilen göç akışının büyüklüğünü iller ölçeğinde yönlü ağlar kullanılarak analiz edilmesini amaçlamaktadır. Araştırmada, TÜİK tarafından yayınlanmış olan 2015 yılına ait, iller ölçeğinde doğum yerine göre ikamet yeri verisi kullanılmıştır. Göçün kaynak ve hedef sahaları arasındaki akışını incelemek için NodeXL ile oluşturulan tek modlu, yönlü ve ağırlıklandırılmış göç ağının istatistiksel olarak tam ağ yapısına sahip olduğu görülmüştür. Ağ grafiklerinden ve istatistiklerinden göç hareketinin doğudan batıya doğru gerçekleştiği ve İstanbul’ un ülkenin tamamına hâkim bir görünüme sahip olduğu anlaşılmaktadır. Türkiye nüfusunun cumhuriyet tarihi içinde geçirdiği iç göç süreçleriyle birlikte ülke içinde kurulmuş ve oldukça karmaşık bir görünüme sahip ağ yapısının olduğu ileri sürülebilir. Kurulan ağlar göçlerin devamını sağladığı gibi, göçün yöneldiği merkezlerde daha heterojen nüfus yapılarının ortaya çıkmasına yol açmıştır.ABSTRACT IN ENGLISHSocial Network Analysis of Migration Inter Provinces In Turkey with Nodexl The internal migrations which started in Turkey in the middle of the 20th century have gained permanency with the migration networks that were established at the time and reached dimensions which have the potential to change the rural-urban distribution of the population within the country. The study aims to analyze the magnitude of the incoming and outgoing migration flow at the provincial scale based on the population data for place of birth according to place of residence by using directional networks. Place of residence according to place of birth at the provincial scale data for 2015 published by TÜİK was used in the study. A single mode, directional and weighted migration network created with NodeXL to examine the migration flows between the source and target has a statistically complete network structure. The network graphs and statistics show that the migrations have taken place from east to west and Istanbul has a view as dominant of the country. It can be argued that internal network structure of Turkish population has a very complex view because of internal migration in the history of the republic. The established networks have enabled the continuation of migration and have manifested as the emergence of more heterogeneous population structures in centers where migration had been directed.

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Application of Fractal Methods to Ensure the Cyber-Resilience of Self-Organizing Networks

Nonlinear Phenomena in Complex Systems ◽

10.33581/1561-4085-2019-22-4-336-341 ◽

2019 ◽

Vol 22 (4) ◽

pp. 336-341

Author(s):

D. V. Ivanov ◽

D. A. Moskvin

Keyword(s):

Information Security ◽

Network Structure ◽

Self Regulation ◽

Security Threats ◽

Self Organizing Networks ◽

Self Organizing ◽

Fractal Methods

In the article the approach and methods of ensuring the security of VANET-networks based on automated counteraction to information security threats through self-regulation of the network structure using the theory of fractal graphs is provided.

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