Network Topology and a Case Study in TCOZ

1998 ◽  
pp. 308-327 ◽  
Author(s):  
Brendan Mahony ◽  
Jin Song Dong
Keyword(s):  
Network Topology

scholarly journals On the Network Topology of Cross-Linked Acrylate Photopolymers: A Molecular Dynamics Case Study

2020 ◽  
Vol 124 (41) ◽  
pp. 9204-9215
Author(s):  
John J. Karnes ◽  
Todd H. Weisgraber ◽  
James S. Oakdale ◽  
Magi Mettry ◽  
Maxim Shusteff ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Network Topology

scholarly journals Settlement network topology as a factor of rural population dynamics (a case study of Tyumen oblast)

2019 ◽  
pp. 46-62
Author(s):  
A. V. Sheludkov ◽  
M. A. Orlov
Keyword(s):  
Population Dynamics ◽  
Network Topology ◽  
Population Increase ◽  
Initial Population ◽  
Tyumen Oblast ◽  
Network Position ◽  
Network Cluster ◽  
Population Concentration ◽  
Network Pattern

After a brief counter-urbanization of the early 1990s, rural out-migration resumed in Russia. Population concentrates in large settlements, while small and medium-sized towns and villages lose people. The farther rural settlements from regional center the greater the outflow of people. Centripetal tendencies can be mitigated or amplified at local level, where specific conditions of the area come to fore. The authors suggest settlement network pattern as one of such contextual factors, whose effects on population dynamics are still poorly understood. The paper poses two questions: what the effects of settlement network topology on the rate of population concentration are, and how population dynamics in individual settlements depends on their position in settlement network. Based on a case study of Tyumen oblast of Russia the authors investigated population dynamics in 2002–2010 with methods of network, cluster and regression analysis. The authors did not find relationship between density and centralization of settlement network and rate of population concentration. However, the study revealed a significant role, played by the network position in determining individual settlements population increase/decrease. Together with initial population size, the network position explained 23–24% of the variance in population dynamics among the towns and villages of Tyumen oblast. Outside the Tyumen metropolitan area settlements with highest inter-district network centrality grew. It is noteworthy that configuration of the regional settlement network at inter-district level emerged during the period of colonization of Western Siberia in 17–19 centuries. The configuration largely stems from the river network. Thus, even if the factors, which determined settlement network pattern, have lost their force, the settlement pattern itself continues to affect social space.

Optimal Management Network Topology in a CIMM System A Case Study

2012 ◽  
Vol 45 (10) ◽  
pp. 27-31
Author(s):  
Jozef Bohdan Lewoc ◽  
Antoni Izworski ◽  
Slawomir Skowronski ◽  
Antonina Kieleczawa ◽  
Marion Ann Hersh ◽  
...  
Keyword(s):  
Network Topology ◽  
Optimal Management ◽  
System A

Virtual Development for In-Vehicle Network Topology – A Case Study of CAN FD Physical Layer

2017 ◽  
Author(s):  
Naoya Tsuchiya ◽  
Tomohisa Kishigami ◽  
Eiichirou Kawakami
Keyword(s):  
Network Topology ◽  
Physical Layer ◽  
Vehicle Network

A framework for assessing project vulnerability to crises

2019 ◽  
Vol 12 (4) ◽  
pp. 1079-1096 ◽  
Author(s):  
Aimin Wang
Keyword(s):  
Complex Network ◽  
Network Topology ◽  
Network Theory ◽  
Critical Role ◽  
Diffusion Path ◽  
Content Type ◽  
Complex Network Theory ◽  
Systems Perspective ◽  
Project Network

Purpose The purpose of this paper is to propose a framework for assessing the vulnerability of projects to crises. The study seeks to clarify the cascade effects of disruptions leading to project crises and to improve project robustness against crises from a systems perspective. Design/methodology/approach A framework for assessing project vulnerability to crises is developed using complex network theory. The framework includes network representation of project systems, analyzing project network topology, simulating the cascade of unexpected disruptions and assessing project vulnerability. Use of the framework is then illustrated by applying it to a case study of a construction project. Findings Project network topology plays a critical role in resisting crises. By increasing the resilience of the critical tasks and adjusting the structure of a project, the complexity and vulnerability of the project can be reduced, which in turn decreases the occurrence of crises. Research limitations/implications The proposed framework is used in a case study. Further studies of its application to projects in diverse industries would be beneficial to enhance the robustness of the results. Practical implications Project crises can threaten the survival of a project and endanger the organization’s security. The proposed framework helps prevent and mitigate project crises by protecting critical tasks and blocking the diffusion path from a systems perspective. Originality/value This paper presents a novel framework based on complex network theory to assess project vulnerability, which provides a systemic understanding of the cascade of disruptions that lead to project crises.

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