An Efficient Study on Large and Complex Network Modeling

2016 ◽  
pp. 97-107
Author(s):  
Jun-Chun Ma ◽  
Min Li ◽  
Shan Chen ◽  
Wei Zhang
Keyword(s):  
Complex Network ◽  
Network Modeling

scholarly journals (A337) State Failure as a Factor in International Global Medical Operations: Network Modeling

2011 ◽  
Vol 26 (S1) ◽  
pp. s95-s95
Author(s):  
A. Trufanov ◽  
A. Rossodivita ◽  
M. Aminova ◽  
A. Tikhomirov ◽  
A. Caruso ◽  
...  
Keyword(s):  
Complex Network ◽  
Good Governance ◽  
Network Modeling ◽  
Group Processes ◽  
Interdisciplinary Teams ◽  
National Society ◽  
Scale Free ◽  
Network Topologies ◽  
The Impact

IntroductionIn order to counteract disasters and emergencies, it is necessary to build cooperation and collaboration among all entities and actors. Field teams of rescuers require support from the State experiencing a disaster. The responses to the earthquake in Haiti demonstrated a lack of cooperation and collaboration and the rescuers encountered concomitant difficulties. Thus, the problems in the field are not only related to natural and technological aspects, but also social and political contexts. It is time to explore the role of the impact of State power on national and international disasters and emergencies. One modern and fruitful instrument for analysis of these complicated social and group processes is Complex Network modeling. Complex Network tools have been applied successfully to understanding and counteracting such threats as they relate to the spread of infectious diseases and/or to terrorist activities. Another significant utilization of the Complex Network approach is to develop good governance, management, and organizational processes in national and corporate landscapes.MethodsBased on a Complex Network Scope, a novel, three-layer network model of public connections for diverse State regimes for further simulation is proposed. Quantitative assessments and practical processes should be implemented for countering global disasters using international and interdisciplinary teams. Contrary to the known hierarchical layer approach for knowledge acquisition, this new model describes an overall national Society Network by dividing the approach into the three layers: (1) Formal (State), as hierarchical governments structures; (2) Informal (presented by different long-term sustainable link groups); and (3) Informal (aquatinters with short term links (“weak ties”).ResultsAccording to each of these layers, one of three types of network topologies exist: (1) hierarchical; (2) scale-free; and (3) random, respectively.

Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pinsheng Duan ◽  
Jianliang Zhou
Keyword(s):  
Complex Network ◽  
Network Modeling ◽  
Vulnerability Analysis ◽  
Construction Workers ◽  
Cascading Failure ◽  
Failure Model ◽  
Analysis Model ◽  
Content Type ◽  
Unsafe Behavior ◽  
Unsafe Behaviors

PurposeThe construction industry is an industry with a high incidence of safety accidents, and the interactions of unsafe behaviors of construction workers are the main cause of accidents. The neglect of the interactions may lead to serious underestimation of safety risks. This research aims to analyze the cascading vulnerability of unsafe behaviors of construction workers from the perspective of network modeling.Design/methodology/approachAn unsafe behavior network of construction workers and a cascading vulnerability analysis model were established based on 296 actual accident cases. The cascading vulnerability of each unsafe behavior was analyzed based on the degree attack strategy.FindingsComplex network with 85 unsafe behavior nodes is established based on the collected accidents in total. The results showed that storing in improper location, does not wear a safety helmet, working with illness and working after drinking are unsafe behaviors with high cascading vulnerability. Coupling analysis revealed that differentiated management strategies of unsafe behaviors should be applied. Besides, more focus should be put on high cascading vulnerability behaviors.Originality/valueThis research proposed a method to construct the cascading failure model of unsafe behavior for individual construction workers. The key parameters of the cascading failure model of unsafe behaviors of construction workers were determined, which could provide a reference for the research of cascading failure of unsafe behaviors. Additionally, a dynamic vulnerability research framework based on complex network theory was proposed to analyze the cascading vulnerability of unsafe behaviors. The research synthesized the results of dynamic and static analysis and found the key control nodes to systematically control unsafe construction behaviors.

Complex-Network Modeling of a Call Network

2009 ◽  
Vol 56 (2) ◽  
pp. 416-429 ◽  
Author(s):  
W.M. Tam ◽  
F.C.M. Lau ◽  
C.K. Tse
Keyword(s):  
Complex Network ◽  
Network Modeling

scholarly journals Rating Prediction in Recommender Systems Based on User Behavior Probability and Complex Network Modeling

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30739-30749
Author(s):  
Zhan Su ◽  
Zuyi Lin ◽  
Jun Ai ◽  
Hui Li
Keyword(s):  
Recommender Systems ◽  
Complex Network ◽  
User Behavior ◽  
Network Modeling ◽  
Rating Prediction
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