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Journal articles on the topic 'Propagation risk'

Author: Grafiati

Published: 27 July 2024

Last updated: 31 July 2025

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1

Yan, Huining, Hua Li, Qiubai Sun, and Yuxi Jiang. "Propagation and control of congestion risk in scale-free networks based on information entropy." PLOS ONE 19, no. 3 (2024): e0300422. http://dx.doi.org/10.1371/journal.pone.0300422.

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To study the propagation pattern of congestion risk in the traffic network and enhance risk control capabilities, a model has been developed. This model takes into account the probabilities of five threats (the risk occurrence probability; the risk of loss; the unpredictability of risk; the uncontrollability of risk; the transferability of risk) in the traffic network to define the risk entropy and determine the risk capacity, analyze the mechanism of congestion risk propagation, and explore the impact of risk resistance, the average degree of risk capacity at intersections, and the degree of

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Zhang, Xuejun, Shuaizhe Zhao, and Hao Mei. "Analysis of Airport Risk Propagation in Chinese Air Transport Network." Journal of Advanced Transportation 2022 (March 1, 2022): 1–13. http://dx.doi.org/10.1155/2022/9958810.

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In recent years, due to the close coupling between airports, airport risk propagation has become a huge challenge. However, it has not been fully understood on the network level. Airport risk can be transferred through other airports owing to connected resources. In this study, we consider two risk factors including airport delay and saturation and propose a risk coupling model based on a clustering algorithm to fit the index and form risk series. To understand the risk propagation mechanism, we build risk propagation networks based on the Granger Causality test, and we apply complex network t

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Xu, Junke, Jiwei Zhu, and Jiancang Xie. "Study on the Evolution of Risk Contagion in Urban River Ecological Management Projects Based on SEIRS." Water 15, no. 14 (2023): 2622. http://dx.doi.org/10.3390/w15142622.

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The risk transmission mechanisms of urban river ecological management engineering projects are examined in this study. Using the Susceptible Exposed Infectious Recovered Susceptible (SEIRS) model for risk transmission, a model of risk propagation delay for urban river ecological management engineering projects on scale-free networks is developed, which takes into account the effects of risk propagation and delay. We conducted a steady-state analysis of the model and obtained the basic reproduction number R. When R > 1, the equilibrium point of risk outbreak is stable, and when R < 1, the

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He, Zhenggang, Jing-Ni Guo, and Jun-Xiang Xu. "Cascade Failure Model in Multimodal Transport Network Risk Propagation." Mathematical Problems in Engineering 2019 (December 6, 2019): 1–7. http://dx.doi.org/10.1155/2019/3615903.

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The cascade failure theory is introduced into the risk propagation problem of the multimodal transport network in order to study the inherent law of risk propagation and provide theoretical support for the safety management of multimodal transport networks. Firstly, this paper analyses the characteristics of the multimodal transport network and concludes that the risk of the multimodal transport network belongs to failure risk. Secondly, the applicability of cascade failure theory is expounded. Based on cascade failure theory, a risk propagation model of the multimodal transport network is est

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Song, Yue, Naiding Yang, Yanlu Zhang, and Jingbei Wang. "Suppressing risk propagation in R&D networks: the role of government intervention." Chinese Management Studies 13, no. 4 (2019): 1019–43. http://dx.doi.org/10.1108/cms-07-2018-0621.

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Purpose This paper aims to explore what factors influence the possibility of internal and external risk propagation in R&D networks and investigate how government intervention moderates the associations between the influencing factors and risk propagation. Design/methodology/approach The authors divided government intervention into directive and facilitative intervention and adopted an empirical research approach in this study. They collected 228 questionnaires from managers and R&D personnel participating in R&D projects in Shanghai and Jiangsu province through e-mail and in perso

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Han, Yuanwen, Jiang Shen, Xuwei Zhu, Bang An, Fusheng Liu, and Xueying Bao. "Study on the Mechanism of Safety Risk Propagation in Subway Construction Projects." Sustainability 16, no. 2 (2024): 796. http://dx.doi.org/10.3390/su16020796.

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Under the development trend of complexity and systematization of metro construction, there is an increasing number of risk factors potentially affecting construction safety, which has led to frequent accidents in metro construction projects, and the road to high-quality and sustainable development of metro construction is full of challenges. One of the essential reasons is that the propagation mechanism of safety risk factors in metro construction under hidden and delayed effects is not yet clear. This paper combines the theory of complex network and propagation dynamics and constructs a subwa

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Chen, Tingting, Yan Li, Xiongfei Jiang, and Lingjie Shao. "Spatiotemporal Patterns of Risk Propagation in Complex Financial Networks." Applied Sciences 13, no. 2 (2023): 1129. http://dx.doi.org/10.3390/app13021129.

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The methods of complex networks have been extensively used to characterize information flow in complex systems, such as risk propagation in complex financial networks. However, network dynamics are ignored in most cases despite systems with similar topological structures exhibiting profoundly different dynamic behaviors. To observe the spatiotemporal patterns of risk propagation in complex financial networks, we combined a dynamic model with empirical networks. Our analysis revealed that hub nodes play a dominant role in risk propagation across the network and respond rapidly, thus exhibiting

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Liu, Yang, and Jingxin Liang. "Research on Risk Propagation in Complex Supply Chain Networks Based on SEIR Model." Frontiers in Business, Economics and Management 7, no. 3 (2023): 245–54. http://dx.doi.org/10.54097/fbem.v7i3.5586.

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The complexity of supply chain network structure makes the risk propagation among the enterprises in the supply chain more and more complicated. This paper constructs a SEIR risk propagation model for complex supply chain networks based on the analytical idea of contagion model, which reveals the risk propagation mechanism of supply chain networks from a macro perspective. The article verifies the existence of risk propagation threshold and the stability of different equilibrium points by analyzing the basic regeneration number, equilibrium point and stability of the model; explores the effect

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Ernst, Oliver G., Alois Pichler, and Björn Sprungk. "Wasserstein Sensitivity of Risk and Uncertainty Propagation." SIAM/ASA Journal on Uncertainty Quantification 10, no. 3 (2022): 915–48. http://dx.doi.org/10.1137/20m1325459.

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Fuh, Cheng-Der, and Chu-Lan Michael Kao. "Credit Risk Propagation in Structural-Form Models." SIAM Journal on Financial Mathematics 12, no. 4 (2021): 1340–73. http://dx.doi.org/10.1137/20m135340x.

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11

Cui, Bo, Meilong Le, and Jinfu Zhu. "Review of the network risk propagation research." Aeronautics and Aerospace Open Access Journal 3, no. 2 (2019): 66–74. http://dx.doi.org/10.15406/aaoaj.2019.03.00082.

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Huang, C. Derrick, Ravi S. Behara, and Qing Hu. "Managing Risk Propagation in Extended Enterprise Networks." IT Professional 10, no. 4 (2008): 14–19. http://dx.doi.org/10.1109/mitp.2008.90.

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13

Li, Tengjiao, Hongzhuan Chen, Jie Yuan, Jingye Qian, and Abdul Waheed Siyal. "Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV." Discrete Dynamics in Nature and Society 2020 (December 15, 2020): 1–16. http://dx.doi.org/10.1155/2020/8889903.

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The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies

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14

Wang, Yang, and Gui Jiang Duan. "Engineering Change Propagation Analysis Based on Linkage Model in Complex Product Development." Applied Mechanics and Materials 271-272 (December 2012): 887–96. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.887.

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To handle change propagations during complex product development, an analysis framework based on linkage model was proposed. Firstly linkage was defined to encapsulate the relations among product characteristics, and methods of linkage identification from multi-dimensions and linkage model construction were given. Then how to identify change propagation paths step by step in open scene and how to identify change propagation paths with improved mouse maze algorithm in closed scene were discussed. In the following a quantitative evaluation method of change impact risk was advanced. Finally an ex

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Zhao, Changxiao, Wei Zhang, Fangzheng Dong, Jun Dai, and Lei Dong. "Research on Resource Allocation Method of Integrated Avionics System considering Fault Propagation Risk." International Journal of Aerospace Engineering 2022 (August 22, 2022): 1–19. http://dx.doi.org/10.1155/2022/8652818.

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The integrated modular avionics (IMA) system has coupled cross-linked support characteristics between physical resource entities and logical functions, and the existing resource allocation methods, which mainly consider system performance and resource utilization, do not consider the associated impact of fault propagation among resource entities. Aiming at the fault propagation risk in the resource allocation process of the IMA system, a hierarchical model of the IMA system is established. The fault propagation behavior caused by coupling association during the physical realization of the func

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Song, Yue, Naiding Yang, Yanlu Zhang, and Jingbei Wang. "Do more structural holes lead to more risk propagation in R&D networks?" Management Decision 58, no. 1 (2020): 39–57. http://dx.doi.org/10.1108/md-07-2018-0767.

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Purpose The purpose of this paper is twofold: first, to explore how the number of structural holes influences the possibility of risk propagation in R&D networks; and second, to investigate how the specific context of tie strength and common cognition moderate the association between structural holes and risk propagation. Design/methodology/approach This study focuses on how structural holes influence risk propagation under the specific context of relationship and cognitive dimension by drawing on social capital theory. Risk sharing and risk perception as mediating variables are employed i

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Matsumoto, Hiroyuki, Hitoshi Mikada, and Masanori Suzuki. "Excitation Process of the 2004 Indian Ocean Tsunami Determined from Seismic Fault Rupture." Journal of Disaster Research 1, no. 1 (2006): 136–41. http://dx.doi.org/10.20965/jdr.2006.p0136.

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We simulated the tsunami that had took place after the 2004 Sumatra-Andaman earthquake for two fault models - one from teleseismic body wave inversion and the other from tsunami data. After including the dynamic behavior of the seafloor by fault rupture propagation in the tsunami excitation process in detail, we found the difference in tsunami wave heights from the two fault models, in particular due to the difference in slip distribution. We then estimated the effects of the dynamic behavior due to fault rupture propagation, changing the initial conditions of tsunami simulation. Although the

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Berger, J. R., J. W. Dally, R. deWit, and R. J. Fields. "A Strain Gage Analysis of Fracture in Wide Plate Tests of Reactor Grade Steel." Journal of Pressure Vessel Technology 115, no. 4 (1993): 398–405. http://dx.doi.org/10.1115/1.2929547.

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A new method of fracture analysis is described. Strains recorded by gages in the immediate vicinity of a propagating crack are analyzed. From the analysis, crack tip position, propagation toughness, and crack velocity are determined. The analysis procedure Is demonstrated using data from the dynamic fracturing of a large-scale, wide plate test. The results are then used to describe the propagation toughness-crack velocity-temperature relation for the 2.25 Cr-1 Mo steel used in the test.

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Zhai, Wansheng. "Research on Risk Propagation in Fresh E-commerce Supply Chain Based on Complex Networks." International Journal of Global Economics and Management 3, no. 1 (2024): 11–20. http://dx.doi.org/10.62051/ijgem.v3n1.02.

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In recent years, the rapid growth of the fresh e-commerce industry has introduced several potential risk factors to the supply chain that necessitate preventative measures. This paper aims to study the risk propagation within the fresh e-commerce supply chain and propose strategies for risk control. Firstly, a dual local world fitness network model is constructed by combining the fitness model with the local world model. This model is then validated, showing consistency with the actual network. Building upon this, an improved SEIRS risk propagation model is developed, and the basic reproductio

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Cheng, Yusi, Jingfeng Yuan, Lei Zhu, and Wei Li. "Risk Propagation Model and Simulation of Schedule Change in Construction Projects: A Complex Network Approach." Complexity 2020 (November 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/8854609.

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Construction schedules play an important role in construction project management. However, during construction activities, risks may arise due to unexpected schedule changes, resulting in the ineffective delivery of projects. This study aims to reveal the law of schedule change risk propagation and to analyze the effects on the risk propagation through numerical simulations. First, construction projects are represented by activity-on-node (AON) networks. A model of risk propagation is then built based on a susceptible-infected (SI) model considering the effects of the nodal characteristics on

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Xiong, Qiuju, Bowei Xu, and Junjun Li. "Risk–Failure Interactive Propagation and Recovery of Sea–Rail Intermodal Transportation Network Considering Recovery Propagation." Journal of Marine Science and Engineering 13, no. 4 (2025): 781. https://doi.org/10.3390/jmse13040781.

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Existing research concentrates on analyzing the propagation and recovery of complex network risk or failure under a single model, which makes it difficult to effectively deal with the chain reaction. Concerning the recovery delay caused by the risk–failure interactions, this paper proposes a model for the propagation and recovery of risk–failure interactions. This model not only considers the network risk–failure interactive propagation mechanism but also introduces the load-balancing strategy and repair mechanism. The study quantifies the impact of the station on network resilience after diff

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He, Song, Can Zhang, Wei Guo, and Li-Dong Zhai. "Worms Propagation Modeling and Analysis in Big Data Environment." International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/985856.

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The integration of the Internet and Mobile networks results in huge amount of data, as well as security threat. With the fragile capacity of security protection, worms can propagate in the integration network and undermine the stability and integrity of data. The propagation of worm is a great security risk to massive amounts of data in the integration network. We propose a kind of worm propagating in big data environment named BD-Worm. BD-Worm consumes computing resources and gets privacy information of users, which causes huge losses to our working and living. This paper constructs an integr

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23

Li, Xixi. "Cascading Propagation Path of Vinyl Chloride Process Risk Based on Complex Network." Academic Journal of Science and Technology 9, no. 2 (2024): 149–54. http://dx.doi.org/10.54097/cxw6gf62.

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In the production of vinyl chloride, small parameter fluctuations may lead to large-scale cascade fluctuations, causing serious economic losses and casualties, in order to ensure the safety and stability of production, it is necessary to study the cascade fluctuation propagation path of vinyl chloride production process. In this paper, a complex network model of vinyl chloride production process is constructed based on complex network theory, and the concept of comprehensive degree considering network direction is introduced to identify important nodes in the network: secondly, the fluctuation

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R.Sudha, B.Suguna V.Bhuvani G.Shobikha. "SPYWARE PROPOSAL IN WIRELESS AD HOC NETWORKS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 3 (2017): 363–66. https://doi.org/10.5281/zenodo.400979.

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Accurate malware propagation modeling in wireless ad hoc networks (WANETs) represents a fundamental and open research issue which shows distinguished challenges due to complicated access competition, severe channel interference, and dynamic connectivity. As an effort towards the issue, in this paper, we investigate the malware propagation under two spread schemes including Unicast and Broadcast, in Spread Mode and Communication Mode, respectively. We highlight our contributions in three-fold in the light of previous literature works. First, a bound of malware infection rate for each scheme is

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Tansel, Berrin. "PFAS risk propagation terminology in spatial and temporal scales: Risk intensification, risk attenuation, and risk amplification." Science of The Total Environment 835 (August 2022): 155503. http://dx.doi.org/10.1016/j.scitotenv.2022.155503.

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Tansel, Berrin. "PFAS risk propagation terminology in spatial and temporal scales: Risk intensification, risk attenuation, and risk amplification." Science of The Total Environment 835 (August 2022): 155503. http://dx.doi.org/10.1016/j.scitotenv.2022.155503.

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Takagaki, Masakazu, and Toshiya Nakamura. "Fatigue Crack Modeling and Simulation Based on Continuum Damage Mechanics." Journal of Pressure Vessel Technology 129, no. 1 (2006): 96–102. http://dx.doi.org/10.1115/1.2388993.

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Numerical simulation of fatigue crack propagation based on fracture mechanics and the conventional finite element method requires a huge amount of computational resources when the cracked structure shows a complicated condition such as the multiple site damage or thermal fatigue. The objective of the present study is to develop a simulation technique for fatigue crack propagation that can be applied to complex situations by employing the continuum damage mechanics (CDM). An anisotropic damage tensor is defined to model a macroscopic fatigue crack. The validity of the present theory is examined

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Wenbo, Fang, Chenyu Han, Xu Ting, Jiang Shan, Liu Xin, and Song Xianmin. "Road section traffic risk propagation model based on macro traffic flow energy consumption." Scientific Insights and Discoveries Review 3 (October 11, 2024): 119–28. http://dx.doi.org/10.59782/sidr.v3i1.128.

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Traffic risk is an important source of road traffic accidents. Effectively predicting the propagation of accident risks on the road after an accident is of great significance for preventing secondary accidents. Therefore, this paper establishes a road section accident risk propagation model based on macro traffic flow energy consumption. Firstly, the influence of lane occupation and vehicle lane changing after the accident on traffic flow is analyzed, and a macro traffic flow model under the risk after the accident is constructed. Secondly, combined with the definition of traffic flow energy d

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ZHANG, Yong-Zheng. "Risk Propagation Model for Assessing Network Information Systems." Journal of Software 18, no. 1 (2007): 137. http://dx.doi.org/10.1360/jos180137.

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Ojha, Ritesh, Abhijeet Ghadge, Manoj Kumar Tiwari, and Umit S. Bititci. "Bayesian network modelling for supply chain risk propagation." International Journal of Production Research 56, no. 17 (2018): 5795–819. http://dx.doi.org/10.1080/00207543.2018.1467059.

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Shin, KwangSup, YongWoo Shin, Ji‐Hye Kwon, and Suk‐Ho Kang. "Risk propagation based dynamic transportation route finding mechanism." Industrial Management & Data Systems 112, no. 1 (2012): 102–24. http://dx.doi.org/10.1108/02635571211193662.

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Serrano, Alejandro, Rogelio Oliva, and Santiago Kraiselburd. "Risk propagation through payment distortion in supply chains." Journal of Operations Management 58-59, no. 1 (2018): 1–14. http://dx.doi.org/10.1016/j.jom.2018.01.003.

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Andria, Joseph, Giacomo di Tollo, and Jaan Kalda. "Propagation of Bankruptcy Risk over Scale-Free Economic Networks." Entropy 24, no. 12 (2022): 1713. http://dx.doi.org/10.3390/e24121713.

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The propagation of bankruptcy-induced shocks across domestic and global economies is sometimes very dramatic; this phenomenon can be modelled as a dynamical process in economic networks. Economic networks are usually scale-free, and scale-free networks are known to be vulnerable with respect to targeted attacks, i.e., attacks directed towards the biggest nodes of the network. Here we address the following question: to what extent does the scale-free nature of economic networks and the vulnerability of the biggest nodes affect the propagation of economic shocks? We model the dynamics of bankrup

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Mu, Liming, Yingzhi Zhang, and Qiyan Zhang. "Risk Evaluation Method Based on Fault Propagation and Diffusion." Mathematics 11, no. 19 (2023): 4083. http://dx.doi.org/10.3390/math11194083.

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The high reliability demand of the machining center emphasizes the accuracy of the fault risk evaluation. In the traditional fault risk evaluation research of the machining center, the influence of fault mode is mostly based on subjective recommendation or does not consider the propagation and diffusion of fault, which makes the risk evaluation results different from the real situation. Therefore, this paper presents a framework to evaluate the fault risk for machining center components. A certain type of machining center is considered as a case study. The fault mode frequency ratio of compone

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Bai, Jing, Jiahui Wang, and Xingyuan Li. "Interruption Risk Propagation and Resilience Evaluation of Supply Chain of Emergency Medical Supplies Under Information Sharing Mechanism." Sustainability 17, no. 12 (2025): 5303. https://doi.org/10.3390/su17125303.

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In the new context of information sharing to reshape the supply chain’s interruption risk propagation mechanism, this paper focuses on the interruption risk propagation and resilience of the supply chain of emergency medical supplies in the background of emergencies. Firstly, an emergency supply chain’s risk propagation model under information sharing is proposed by combining the information sharing mechanism with the supply chain’s risk propagation theory. Secondly, an interruption risk propagation model for the supply chain of emergency medical supplies based on a Bayesian Network is constru

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Zhu, Jianjun, Yamin Cheng, and Yuhuai Zhang. "Risk Propagation Mechanism Research Based on SITR Model of Complex Supply Networks." International Journal of Information Systems and Supply Chain Management 14, no. 3 (2021): 18–38. http://dx.doi.org/10.4018/ijisscm.2021070102.

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Supply chain risk management is an important topic in supply chain management. The authors investigate the rules and characteristics of risk propagation in complex supply networks. Aiming at the characteristics of complex supply chain with complex structure and large risk consequences, considering the different impact capabilities and different anti-risk capabilities of each enterprise node, this paper proposes a SITR (susceptible-infected-temporarily removed-completely removed) risk propagation model based on weighted networks. After the dynamic analysis of the proposed model, numerical simul

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Kang, Chang Muk, Yoo S. Hong, Woonghee Tim Huh, and Wanmo Kang. "Risk Propagation Through a Platform: The Failure Risk Perspective on Platform Sharing." IEEE Transactions on Engineering Management 62, no. 3 (2015): 372–83. http://dx.doi.org/10.1109/tem.2015.2427844.

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Yang, Yunfeng, Guohua Chen, and Yuanfei Zhao. "A Quantitative Framework for Propagation Paths of Natech Domino Effects in Chemical Industrial Parks: Part II—Risk Assessment and Mitigation System." Sustainability 15, no. 10 (2023): 8306. http://dx.doi.org/10.3390/su15108306.

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This is the second part of the quantitative framework for the propagation paths of Natech domino effects in chemical industrial parks, which focuses on risk assessment and a mitigation system based on the propagation path probabilities obtained from Part I. In this paper, the risk assessment model for the propagation paths of the domino effects induced by natural disasters are developed, and the risk level is quantitatively analyzed using individual risk and social risk indexes and compared with the risk acceptance standard to determine whether the risk in the plant area is at the risk accepta

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Chen, Wenying, Jinyu Yang, Mohammad T. Khasawneh, Jiaping Fu, and Baoping Sun. "Rules of incidental operation risk propagation in metro networks under fully automatic operations mode." PLOS ONE 16, no. 12 (2021): e0261436. http://dx.doi.org/10.1371/journal.pone.0261436.

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The frequent interruptions of network operation due to any incident suggest the necessity to study the rules of operational risk propagation in metro networks, especially under fully automatic operations mode. In this study, risk indicator computation models were developed by analyzing risk propagation processes within transfer stations and metro networks. Moreover, indicator variance rules for a transfer station and different structural networks were discussed and verified through simulation. After reviewing the simulation results, it was concluded that under the impacts of both sudden incide

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Cao, Shoufeng, Kim Bryceson, and Damian Hine. "An Ontology-based Bayesian network modelling for supply chain risk propagation." Industrial Management & Data Systems 119, no. 8 (2019): 1691–711. http://dx.doi.org/10.1108/imds-01-2019-0032.

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Purpose Supply chain risks (SCRs) do not work in isolation and have impact both on each member of a chain and the performance of the entire supply chain. The purpose of this paper is to quantitatively assess the impact of dynamic risk propagation within and between integrated firms in global fresh produce supply chains. Design/methodology/approach A risk propagation ontology-based Bayesian network (BN) model was developed to measure dynamic SCR propagation. The proposed model was applied to a two-tier Australia-China table grape supply chain (ACTGSC) featured with an upstream Australian integr

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Sun, Rui, and Wan Bo Luo. "Rumor Propagation Model for Complex Network with Non-Uniform Propagation Rates." Applied Mechanics and Materials 596 (July 2014): 868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.596.868.

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Considering propagation characteristics and affecting factors of rumor in real-world complex networks, this paper described different propagation rates of different nodes by introducing the rumor acceptability function. Based on mean-field theory, this paper presented a rumor propagation model with non-uniform propagation rate, and then simulated the behaviour of rumor propagation on scale-free network and calculated the propagation thresholds by corresponding dynamics equation. Theoretical analysis and simulation results show that nodes with different rumor acceptability could lead to slowing

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Ye, Qing, Yi Li, and Ben Niu. "Risk Propagation Mechanism and Prediction Model for the Highway Merging Area." Applied Sciences 13, no. 14 (2023): 8014. http://dx.doi.org/10.3390/app13148014.

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The merging area is one of the most accident-prone areas on highways. After an accident occurs, the risk will propagate along the main road over a certain range and time. Therefore, the study of the propagation mechanism of accident risk will help to quantify the driving risk in this region. An effective risk prediction model is important for improving traffic control measures in this specific area. In this study, simulation experiments were conducted in SUMO (Simulation of Urban Mobility) to obtain the accident and risk propagation data in merging areas. Firstly, the Gaussian plume model was

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Tirado-Ramos, Alfredo, and Chris Kelley. "Simulation of HIV Infection Propagation Networks." International Journal of Agent Technologies and Systems 5, no. 1 (2013): 53–63. http://dx.doi.org/10.4018/jats.2013010104.

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Simulating the transmission of HIV requires a model framework that can account for the complex nature of HIV transmission. In this paper the authors present the current state of the art for simulating HIV with agent-based models and highlight some of the significant contributions of current research. The authors then propose opportunities for future work including their plan that involves identifying and monitoring high-risk drug users that can potentially initiate high-risk infection propagation networks.

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Fan, Yunhui. "Research on the Stability of Express Delivery Supply Chain Based on Risk Propagation Model ------ Case Studies of SF Express and JD Logistics." SHS Web of Conferences 218 (2025): 01004. https://doi.org/10.1051/shsconf/202521801004.

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Against the backdrop of the rapid development of e-commerce, the stability of the express delivery supply chain, as a core component of the logistics system, has garnered increasing attention. Risk propagation is a critical factor affecting the stability of the express delivery supply chain. However, traditional research has largely been confined to qualitative descriptions of risks, lacking systematic quantitative analysis of risk propagation mechanisms. This study constructs a three-tier risk propagation model of “warehousing-transportation-distribution” based on complex network theory, anal

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Huo, Liang’an, Hongyuan Guo, and Yingying Cheng. "Supply chain risk propagation model considering the herd mentality mechanism and risk preference." Physica A: Statistical Mechanics and its Applications 529 (September 2019): 121400. http://dx.doi.org/10.1016/j.physa.2019.121400.

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Portarapillo, Maria, and Almerinda Di Benedetto. "Methodology for risk assessment of COVID-19 pandemic propagation." Journal of Loss Prevention in the Process Industries 72 (September 2021): 104584. http://dx.doi.org/10.1016/j.jlp.2021.104584.

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Kuang, Yan, Xiaobo Qu, and Shuaian Wang. "Propagation and dissipation of crash risk on saturated freeways." Transportmetrica B: Transport Dynamics 2, no. 3 (2014): 203–14. http://dx.doi.org/10.1080/21680566.2014.930675.

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Yang, Hsin-Feng, Chih-Liang Liu, and Ray Yeutien Chou. "Interest rate risk propagation: Evidence from the credit crunch." North American Journal of Economics and Finance 28 (April 2014): 242–64. http://dx.doi.org/10.1016/j.najef.2014.03.010.

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Wang, Zhe, Hong Yao, Guoli Yang, and Jun Du. "Failure risk propagation and protection schemes in coupled systems." Chaos, Solitons & Fractals 80 (November 2015): 62–75. http://dx.doi.org/10.1016/j.chaos.2015.06.005.

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Ongkowijoyo, Citra S., Hemanta Doloi, and Anthony Mills. "Participatory-based risk impact propagation and interaction pattern analysis using social network analysis." International Journal of Disaster Resilience in the Built Environment 10, no. 5 (2019): 363–78. http://dx.doi.org/10.1108/ijdrbe-06-2017-0041.

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Abstract:

Purpose This paper aims to develop a novel risk analysis model that uses both participatory and computerized techniques to capture and model the dynamic of risk impact propagation and interaction pattern. Design/methodology/approach In this research, an integrated model, applying modified participatory method and novel dichotomize procedure in the perspectives of social network topological analysis, is developed. Findings Based on the analysis output, it is found that; (i) the risk propagation is characterized by its dynamic and non-linear impact pattern, and (ii) the risk interaction is disti

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