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Journal articles on the topic 'Network Equilibrium Modeling'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Zhang, Peng, Hao Yue, Xu Zhang, Chunfu Shao, and Wencan Gao. "Modeling the Equilibrium Road Network Capacity." IEEE Access 7 (2019): 168029–47. http://dx.doi.org/10.1109/access.2019.2946977.

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Ignatenko, O. P. "Game theoretic modeling of AIMD network equilibrium." PROBLEMS IN PROGRAMMING, no. 1 (January 2016): 116–28. http://dx.doi.org/10.15407/pp2016.01.116.

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This paper deals with modeling of network’s dynamic using game theory approach. The process of interaction among players (network users), trying to maximize their payoffs (e.g. throughput) could be analyzed using game-based concepts (Nash equilibrium, Pareto efficiency, evolution stability etc.). In this work we presented the model of TCP network’s dynamic and proved existence and uniqueness of solution, formulated payoff matrix for a network game and found conditions of equilibrium existence depending of loss sensitivity parameter. We consider influence if denial of service attacks on the equ

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Chayjan, R. A., and M. Esna-Ashari. "Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method." Research in Agricultural Engineering 56, No. 2 (2010): 69–76. http://dx.doi.org/10.17221/37/2009-rae.

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Equilibrium moisture content of maize affects its values of dehydration heat and entropy. Precise prediction of heat and entropy with regard to its equilibrium moisture content is a simple and fast method for proper estimation of energy required for dehydration of maize and simulation of dried maize storage. Artificial neural network and thermodynamic equations for computation of maize heat and entropy of sorption were used, as a new method. The artificial neural network method for prediction of the equilibrium moisture content of maize was utilized. The heat of sorption of maize is predicted

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Hasan, M. K., and K. Nabil A. Safwat. "Comparison of Two Transportation Network Equilibrium Modeling Approaches." Journal of Transportation Engineering 126, no. 1 (2000): 35–40. http://dx.doi.org/10.1061/(asce)0733-947x(2000)126:1(35).

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Kim, Tae-Hyun, Seon-Hwa Baek, Sung-Jin Yoo, Sung-Kyu Lee, and Jeong-Won Kang. "Thermodynamics-Guided Neural Network Modeling of a Crystallization Process." Processes 13, no. 5 (2025): 1414. https://doi.org/10.3390/pr13051414.

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Melt crystallization is a promising separation technique that produces ultra-high-purity products while consuming less energy and generating lower CO2 emissions than conventional methods. However, accurately modeling melt crystallization is challenging due to significant non-idealities and complex phase equilibria in multicomponent systems. This study develops and evaluates two neural network-based surrogate models for acrylic acid melt crystallization: a stand-alone (black-box) model and a thermodynamically guided (hybrid) model. The hybrid model incorporates UNIQUAC-based solid–liquid equili

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Klimenko, Stanislav, Igor Nikitin, Lialia Nikitina, Kira Konich, and Kevin Reinartz. "Numerical modeling of relativistic networks." International Journal of Modern Physics C 28, no. 03 (2017): 1750035. http://dx.doi.org/10.1142/s0129183117500358.

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In this paper, we consider a model of relativistic networks, a topological extension of the model of relativistic particles. Numerical experiments are performed to study thermodynamical properties of the model and their relationship with explicit symmetry of solutions under time reversal. An efficient algorithm is constructed, allowing to generate numerical solutions of high complexity in the given model. The algorithm includes a generator of random topology, an optimal choice of stiffness coefficients for the network and a solver for constrained optimization problem, describing an equilibrium

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Jiang, Weijin, Sijian Lv, Yirong Jiang, Jiahui Chen, Fang Ye, and Xiaoliang Liu. "Evolutionary dynamics modeling of symbolic social network structure equilibrium." China Communications 17, no. 10 (2020): 229–40. http://dx.doi.org/10.23919/jcc.2020.10.017.

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Zhao, Ying, Luis R. De Jesus, Peter Stein, Gregory A. Horrocks, Sarbajit Banerjee, and Bai-Xiang Xu. "Modeling of phase separation across interconnected electrode particles in lithium-ion batteries." RSC Advances 7, no. 65 (2017): 41254–64. http://dx.doi.org/10.1039/c7ra07352f.

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Agureev, I. E., A. V. Akhromeshin, and V. A. Pyshnyi. "Equilibria (equilibrium states) problem statement for city transport systems." Russian Automobile and Highway Industry Journal 20, no. 1 (2023): 52–75. http://dx.doi.org/10.26518/2071-7296-2023-20-1-52-75.

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Introduction. The article formulates the problems statement about equilibrium states in the model of a generalized transport system of the city, consisting of a street and road network, centers of mass gravity, places of residence of people, vehicles, as well as road users themselves, including passengers. The solution of these problems makes it possible to identify the equilibrium distributions of the system elements over various subsets of states (a subset of the elements of the road network; a subset of the center of mass gravity; a subset of trips of a certain type, etc.), depending on the

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Zhang, Shujuan, Zhen Jin, and Juan Zhang. "The Dynamical Modeling Analysis of the Spreading of Passive Worms in P2P Networks." Discrete Dynamics in Nature and Society 2018 (September 20, 2018): 1–13. http://dx.doi.org/10.1155/2018/1656907.

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Passive worms are prone to spreading through Peer-to-Peer networks, and they pose a great threat to the security of the network. In this paper, considering network heterogeneity and the number of hops a search can reach, we propose a novel mathematical model to study the dynamics of the propagation of passive worms. For the proposed model, the basic reproduction number R0 is derived by employing the existence of the positive equilibrium. And the stabilities of the worm-free equilibrium and positive equilibrium are analyzed. Moreover, we verify the rationality of the model established by compar

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Feng, Liping, Lipeng Song, Qingshan Zhao, and Hongbin Wang. "Modeling and Stability Analysis of Worm Propagation in Wireless Sensor Network." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/129598.

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An improved SIRS model considering communication radius and distributed density of nodes is proposed. The proposed model captures both the spatial and temporal dynamics of worms spread process. Using differential dynamical theories, we investigate dynamics of worm propagation to time in wireless sensor networks (WSNs). Reproductive number which determines global dynamics of worm propagation in WSNs is obtained. Equilibriums and their stabilities are also found. If reproductive number is less than one, the infected fraction of the sensor nodes disappears and if the reproduction number is greate

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Ni, Linglin, Chuqiao Chen, Xiaokun (Cara) Wang, and Xiqun (Michael) Chen. "Modeling network equilibrium of competitive ride-sourcing market with heterogeneous transportation network companies." Transportation Research Part C: Emerging Technologies 130 (September 2021): 103277. http://dx.doi.org/10.1016/j.trc.2021.103277.

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Li, Shuping, and Zhen Jin. "Modeling and Analysis of New Products Diffusion on Heterogeneous Networks." Journal of Applied Mathematics 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/940623.

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We present a heterogeneous networks model with the awareness stage and the decision-making stage to explain the process of new products diffusion. If mass media is neglected in the decision-making stage, there is a threshold whether the innovation diffusion is successful or not, or else it is proved that the network model has at least one positive equilibrium. For networks with the power-law degree distribution, numerical simulations confirm analytical results, and also at the same time, by numerical analysis of the influence of the network structure and persuasive advertisements on the densit

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Singh, Ram, Attiq U. Rehman, Mehedi Masud, et al. "Fractional order modeling and analysis of dynamics of stem cell differentiation in complex network." AIMS Mathematics 7, no. 4 (2022): 5175–98. http://dx.doi.org/10.3934/math.2022289.

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<abstract><p>In this study, a mathematical model for the differentiation of stem cells is proposed to understand the dynamics of cell differentiation in a complex network. For this, myeloid cells, which are differentiated from stem cells, are introduced in this study. We introduce the threshold quantity $ \mathcal{R}_{0} $ to understand the population dynamics of stem cells. The local stability analysis of three equilibria, namely $ (i) $ free equilibrium points, $ (ii) $ absence of stem and progenitor cells, and $ (iii) $ endemic equilibrium points are investigated in this study.

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Liu, Ming, and Yihong Xiao. "Modeling and Analysis of Epidemic Diffusion within Small-World Network." Journal of Applied Mathematics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/841531.

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To depict the rule of epidemic diffusion, two different models, the Susceptible-Exposure-Infected-Recovered-Susceptible (SEIRS) model and the Susceptible-Exposure-Infected-Quarantine-Recovered-Susceptible (SEIQRS) model, are proposed and analyzed within small-world network in this paper. Firstly, the epidemic diffusion models are constructed with mean-filed theory, and condition for the occurrence of disease diffusion is explored. Then, the existence and global stability of the disease-free equilibrium and the endemic equilibrium for these two complex epidemic systems are proved by differentia

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Liu, Bo, Yanqing Cen, and Xianghui Song. "Approximating Dynamic Equilibrium Analysis in Multi-Region Network Based on Macroscopic Fundamental Diagram." Journal of Advanced Transportation 2022 (August 26, 2022): 1–22. http://dx.doi.org/10.1155/2022/2604150.

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Modeling and control of road traffic in large-scale urban networks present considerable challenges. The traffic equilibrium phenomena, with the question of route choice behavior in case of heterogeneous urban networks, has not been thoroughly investigated in parsimonious and classical models due to the limitation, like large network size, spatiotemporal propagation of congestion, and the interaction between driver decisions, etc. In this paper, we propose a bi-level approximating dynamic equilibrium model (BLADEM) for the approximating dynamic equilibrium analysis in multi-region network based

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Merlo, A., A. Pavone, D. Böckenhoff, et al. "Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks." Journal of Instrumentation 18, no. 11 (2023): P11012. http://dx.doi.org/10.1088/1748-0221/18/11/p11012.

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Abstract High-β operations require a fast and robust inference of plasma parameters with a self-consistent magnetohydrodynamic (MHD) equilibrium. Precalculated MHD equilibria are usually employed at Wendelstein 7-X (W7-X) due to the high computational cost. To address this, we couple a physics-regularized artificial neural network (NN) model that approximates the ideal-MHD equilibrium with the Bayesian modeling framework Minerva. We show the fast and robust inference of plasma profiles (electron temperature and density) with a self-consistent MHD equilibrium approximated by the NN model. We in

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Liu, Haoxiang, and David Z. W. Wang. "Modeling and solving discrete network design problem with stochastic user equilibrium." Journal of Advanced Transportation 50, no. 7 (2016): 1295–313. http://dx.doi.org/10.1002/atr.1402.

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Liu, Chunling, Jizi Li, Guo Li, and Xiaogang Cao. "Modeling of Across-Chain Network Dynamic Competition for MNC in Industrial Cluster." International Journal of Advanced Pervasive and Ubiquitous Computing 3, no. 4 (2011): 30–49. http://dx.doi.org/10.4018/japuc.2011100105.

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The huge market and perfect production system in China are attracting more multi-national companies’ interest to invest in China in the form of Foreign Direct Investment (FDI). Therefore, multi-national companies are willing to integrate and optimize global supply chain networks of their own, which enable them to reduce cost and improve market response. As a result, multi-national companies usually embed into local industrial clusters through financial and technological comparative merits to sharpen their competitive edge. This paper considers the across-chain network equilibrium problem invol

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Jiang, Jing Long, Yan Zhou, Jing Jing Wang, and Rui Jing Han. "Green Supply Chain Network Equilibrium Model with Genetic Algorithm." Advanced Materials Research 712-715 (June 2013): 3031–37. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3031.

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In this paper, a new model of oligopolistic competition for green supply chains is developed in the case of single product with the inclusion of environmental concerns. Each firm aims to not only maximize its profit but also minimize its emissions throughout its supply chain. Genetic algorithm is utilized for solving the Nash-Cournot equilibrium without any assumption of continuity and differentiability. With the numerical examples, we not only illustrate the generality of the modeling framework but also how the model can be used in practice to comprehend the effects of changes in the weights.

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Lv, Yu Kun, Shuai Chang, Ze Kun Ge, and Wei Run Lv. "Research on Modeling Method of Thermodynamic Verifying Calculation for Heat-Supply Network." Advanced Materials Research 550-553 (July 2012): 2927–31. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.2927.

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This paper establishes a model of thermal checking calculation of heat supply network based on graph theory and thermodynamic calculation, by analyzing directly buried installation of thermal network utilizing the heat-transfer mechanism and principle of thermal equilibrium. Take the directly buried heat supply network for instance, in which hot water is as a heat medium. The establishment of the spatial database and attribute database of thermal network based on GIS and Microsoft Access respectively, as well as the thermodynamic calculation of thermal networks based on GIS developed by object

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Marin, Andrea. "PRODUCT-FORM IN G-NETWORKS." Probability in the Engineering and Informational Sciences 30, no. 3 (2016): 345–60. http://dx.doi.org/10.1017/s0269964816000048.

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The introduction of the class of queueing networks called G-networks by Gelenbe has been a breakthrough in the field of stochastic modeling since it has largely expanded the class of models which are analytically or numerically tractable. From a theoretical point of view, the introduction of the G-networks has lead to very important considerations: first, a product-form queueing network may have non-linear traffic equations; secondly, we can have a product-form equilibrium distribution even if the customer routing is defined in such a way that more than two queues can change their states at th

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Abroug, Nada, Lisa Schöbel, Aldo R. Boccaccini, and Hermann Seitz. "Quantitative Macromolecular Modeling Assay of Biopolymer-Based Hydrogels." Gels 10, no. 11 (2024): 676. http://dx.doi.org/10.3390/gels10110676.

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The rubber elasticity theory has been lengthily applied to several polymeric hydrogel substances and upgraded from idealistic models to consider imperfections in the polymer network. The theory relies solely on hyperelastic material models in order to provide a description of the elastic polymer network. While this is also applicable to polymer gels, such hydrogels are rather characterized by their water content and visco-elastic mechanical properties. In this work, we applied rubber elasticity constitutive models through hyperelastic parameter identification of hydrogels based on their stress

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Kotsi, Areti, Ioannis Politis, Emmanouil Chaniotakis, and Evangelos Mitsakis. "A Multi-Player Framework for Sustainable Traffic Optimization in the Era of Digital Transportation." Infrastructures 10, no. 1 (2024): 6. https://doi.org/10.3390/infrastructures10010006.

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Nowadays, traffic management challenges in the era of digital transport are rising, as the interactions of various stakeholders providing such technologies play a pivotal role in shaping traffic dynamics. The objective of this paper was to present a game-theory-based framework for modeling and optimizing urban traffic in road networks, considering the co-existence and interactions of different players composed of drivers of conventional vehicles, central governing authorities with traffic management capabilities, and competitive or cooperative connected mobility private service providers. The

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LEERMAKERS, F. A. M., and E. B. ZHULINA. "SELF-CONSISTENT FIELD MODELING OF THE NEUROFILAMENT NETWORK." Biophysical Reviews and Letters 03, no. 04 (2008): 459–89. http://dx.doi.org/10.1142/s179304800800085x.

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We have investigated, on a self-consistent field level, the equilibrium structure of the neurofilament network formed by the NF -H, NF -M and NF -L proteins, using the one-gradient version of the numerical model of Scheutjens and Fleer. We demonstrate a reticulation of NFs in parallel bundles that occurs due to hydrophobic attractions between apolar aminoacid residues in the terminal parts of the M- and H-tails. We elaborate on the feasibility that the stability of the NF network can be enhanced by specific interactions between the projection domains, possibly induced by accessary proteins. We

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Lu, Chung-Cheng, and Hani S. Mahmassani. "Modeling User Responses to Pricing." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 124–35. http://dx.doi.org/10.3141/2085-14.

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In a previous contribution, the authors showed how to incorporate user heterogeneity in determining equilibrium route choices in a network in response to pricing. Presented here is a generalization of that framework to incorporate joint consideration of route and departure time as well as heterogeneity in a wider range of behavioral characteristics. A multicriterion simultaneous route and departure time user equilibrium (MSRDUE) model is presented, along with a simulation-based algorithm intended for practical network applications. The model explicitly considers heterogeneous users with differ

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Blocher, Jordan, and Frederick C. Harris. "An Equilibrium Analysis of a Secondary Mobile Data-Share Market." Information 12, no. 11 (2021): 434. http://dx.doi.org/10.3390/info12110434.

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Internet service providers are offering shared data plans where multiple users may buy and sell their overage data in a secondary market managed by the ISP. We propose a game-theoretic approach to a software-defined network for modeling this wireless data exchange market: a fully connected, non-cooperative network. We identify and define the rules for the underlying progressive second price (PSP) auction for the respective network and market structure. We allow for a single degree of statistical freedom—the reserve price—and show that the secondary data exchange market allows for greater flexi

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Cats, Oded, and Jens West. "Learning and Adaptation in Dynamic Transit Assignment Models for Congested Networks." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 1 (2020): 113–24. http://dx.doi.org/10.1177/0361198119900138.

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The distribution of passenger demand over the transit network is forecasted using transit assignment models which conventionally assume that passenger loads satisfy network equilibrium conditions. The approach taken in this study is to model transit path choice as a within-day dynamic process influenced by network state variation and real-time information. The iterative network loading process leading to steady-state conditions is performed by means of day-to-day learning implemented in an agent-based simulation model. We explicitly account for adaptation and learning in relation to service un

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Avramidis, Stavros, and Lazaros Iliadis. "Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study." Holzforschung 59, no. 3 (2005): 336–41. http://dx.doi.org/10.1515/hf.2005.055.

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Abstract This is a preliminary study that proposes an original prototype artificial neural network to be used in addition to the two classic sorption isotherm modeling methods, Hailwood-Horrobin (HH) and Guggenheim-Anderson-deBoer (GAB), in predicting the equilibrium moisture content in wood at three different temperatures (30, 45 and 60°C) for softwood (lodgepole pine) sapwood and heartwood specimens. Contrary to the HH and GAB equations, which use physical data for modeling, the predictive power of the artificial neural network is based on both physical and chemical data for the specific woo

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Liu, Li Hua, Ya Ping Zhang, and Yu Wei. "Modeling and Simulation of Bus Priority Oriented Urban Road Network Elastic Equilibrium." Advanced Engineering Forum 5 (July 2012): 150–54. http://dx.doi.org/10.4028/www.scientific.net/aef.5.150.

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As the poor applicability of rail transit and elevated road limited by economy, population and many other factors, the waste of road resources caused by bus lane, maximizing application of available road resources and bus facilities, reducing the environmental pollution is the critical issue faced by current situation of urban transportation development in China. Guided by Bus Priority Oriented, utilized comprehensive techniques, such as ABC classification, bi-level programming model, sensitivity analysis, this paper constructed a theoretical frame of elastic equilibrium based on system optimi

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Yao, Jian, Ilan Adler, and Shmuel S. Oren. "Modeling and Computing Two-Settlement Oligopolistic Equilibrium in a Congested Electricity Network." Operations Research 56, no. 1 (2008): 34–47. http://dx.doi.org/10.1287/opre.1070.0416.

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Moghadam, M., and S. Asgharzadeh. "On the application of artificial neural network for modeling liquid-liquid equilibrium." Journal of Molecular Liquids 220 (August 2016): 339–45. http://dx.doi.org/10.1016/j.molliq.2016.04.098.

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Zhang, Junlin, and Hai Yang. "Modeling route choice inertia in network equilibrium with heterogeneous prevailing choice sets." Transportation Research Part C: Emerging Technologies 57 (August 2015): 42–54. http://dx.doi.org/10.1016/j.trc.2015.06.005.

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Faúndez, Claudio A., Felipe A. Quiero, and José O. Valderrama. "Phase equilibrium modeling in ethanol+congener mixtures using an artificial neural network." Fluid Phase Equilibria 292, no. 1-2 (2010): 29–35. http://dx.doi.org/10.1016/j.fluid.2010.01.001.

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Feng, Liping, Hongbin Wang, Qi Han, Qingshan Zhao, and Lipeng Song. "Modeling Peer-to-Peer Botnet on Scale-Free Network." Abstract and Applied Analysis 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/212478.

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Peer-to-peer (P2P) botnets have emerged as one of the serious threats to Internet security. To prevent effectively P2P botnet, in this paper, a mathematical model which combines the scale-free trait of Internet with the formation of P2P botnet is presented. Explicit mathematical analysis demonstrates that the model has a globally stable endemic equilibrium when infection rate is greater than a critical value. Meanwhile, we find that, in scale-free network, the critical value is very little. Hence, it is unrealistic to completely dispel the P2P botnet. Numerical simulations show that one can ta

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Ozbay, Kaan, Aleek Datta, and Pushkin Kachroo. "Application of Stochastic Learning Automata for Modeling Departure Time and Route Choice Behavior." Transportation Research Record: Journal of the Transportation Research Board 1807, no. 1 (2002): 154–62. http://dx.doi.org/10.3141/1807-19.

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Stochastic learning automata (SLA) theory is used to model the learning behavior of commuters within the context of the combined departure time route choice (CDTRC) problem. The SLA model uses a reinforcement scheme to model the learning behavior of drivers. A multiaction linear reward-ϵ-penalty reinforcement scheme was introduced to model the learning behavior of travelers based on past departure time choice and route choice. A traffic simulation was developed to test the model. The results of the simulation are intended to show that drivers learn the best CDTRC option, and the network achiev

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Zhang, Hong, Shigen Shen, Qiying Cao, Xiaojun Wu, and Shaofeng Liu. "Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton." International Journal of Distributed Sensor Networks 16, no. 11 (2020): 155014772097294. http://dx.doi.org/10.1177/1550147720972944.

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Wireless sensor networks, as a multi-hop self-organized network system formed by wireless communication, are vulnerable to malware diffusion by breaking the data confidentiality and service availability, owing to their low configuration and weak defense mechanism. To reveal the rules of malware diffusion in the really deployed wireless sensor networks, we propose a model called Malware Diffusion Based on Cellular Automaton to describe the dynamics of malware diffusion based on cellular automaton. According to the model, we first analyze and obtain the differential equations, which can reflect

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Gupta, Churni, Necibe Tuncer, and Maia Martcheva. "A network immuno-epidemiological model of HIV and opioid epidemics." Mathematical Biosciences and Engineering 20, no. 2 (2022): 4040–68. http://dx.doi.org/10.3934/mbe.2023189.

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<abstract><p>In this paper, we introduce a novel multi-scale network model of two epidemics: HIV infection and opioid addiction. The HIV infection dynamics is modeled on a complex network. We determine the basic reproduction number of HIV infection, $ \mathcal{R}_{v} $, and the basic reproduction number of opioid addiction, $ \mathcal{R}_{u} $. We show that the model has a unique disease-free equilibrium which is locally asymptotically stable when both $ \mathcal{R}_{u} $ and $ \mathcal{R}_{v} $ are less than one. If $ \mathcal{R}_{u} &gt; 1 $ or $ \mathcal{R}_{v} &gt; 1 $,

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Lu, Chengqiang, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, and Lixin He. "Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1052–60. http://dx.doi.org/10.1609/aaai.v33i01.33011052.

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Predicting molecular properties (e.g., atomization energy) is an essential issue in quantum chemistry, which could speed up much research progress, such as drug designing and substance discovery. Traditional studies based on density functional theory (DFT) in physics are proved to be time-consuming for predicting large number of molecules. Recently, the machine learning methods, which consider much rule-based information, have also shown potentials for this issue. However, the complex inherent quantum interactions of molecules are still largely underexplored by existing solutions. In this pape

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Gorelova, D. Yu. "Methodological approaches to determination of stability coefficient in network organization structures." Herald of the Ural State University of Railway Transport, no. 2 (2020): 110–19. http://dx.doi.org/10.20291/2079-0392-2020-2-110-119.

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The article focuses on theoretical approaches of modeling of network organization structures. Advantages and disadvantages of network organization structures are given. Network nodes are shown in modeling as graphs and connecting lines as its ribs. Issues of organization networks stability from the model viewpoint were analyzed. Main requirements to geometry configuration of organization networks are stated which must correspond to a practical goal, i.e.: stability, reliability, feasibility or profitability. The term «geometrical stability» was examined and conditions for its achievement. The

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Chou, Porchiung Ben, Michael A. Ehrlich, and Ronald Sverdlove. "Efficiency, stability, and government regulation of risk-sharing financial networks." Managerial Finance 45, no. 6 (2019): 760–80. http://dx.doi.org/10.1108/mf-06-2018-0287.

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Purpose By applying models of social and economic networks to financial institutions, the purpose of this paper is to address the issues of how policy makers can promote financial network stability and social efficiency. Design/methodology/approach The authors characterize the decentralized network formation of financial institutions in three stages through which institutions choose to become member banks connected to a central bank, bank-holding company subsidiaries or non-banks. Financial institutions choose one of the three roles in an endogenous process by considering the effects of sharin

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Robson, Edward, and Vinayak V. Dixit. "Constructing a Database for Computable General Equilibrium Modeling of Sydney, Australia, Transport Network." Transportation Research Record: Journal of the Transportation Research Board 2606, no. 1 (2017): 54–62. http://dx.doi.org/10.3141/2606-07.

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In the search for benefits to justify transport projects, economic appraisals have increasingly incorporated the valuation of impacts to the wider economy. Computable general equilibrium (CGE) models provide a framework to estimate these impacts by simulating the interactions of urban economies and transport networks. In CGE models, households and firms are represented by microeconomic behavioral functions, and markets adjust according to prices. As markets both inside and outside the transport network are taken into account, a wide variety of measures that can assist in economic appraisals ca

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O’Mahony, Margaret M., Kieran J. Kirwan, and Sean McGrath. "Modeling the Internalization of External Costs of Transport." Transportation Research Record: Journal of the Transportation Research Board 1576, no. 1 (1997): 93–98. http://dx.doi.org/10.3141/1576-12.

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Increases in traffic congestion and pollution levels in urban areas in Europe have resulted in the need to develop reliable and transferable methods of assessing the environmental and social effects of transport pricing and other regulatory policies. To achieve this, it is necessary to quantify the marginal social costs of transport as a function of travel demand and then to obtain the optimum marginal social cost by maximization of utility subject to budget constraints. The work conducted by Trinity College, Dublin, on a project (TRENEN) funded by the European Union JOULE II Non-Nuclear Energ

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Zhang, Jie, Zhiying Zhang, and Yuehui Liu. "Impact of Interest Rate Risk on Supply Chain Network under Bank Credit and Trade Credit Financing." Mathematical Problems in Engineering 2021 (December 8, 2021): 1–12. http://dx.doi.org/10.1155/2021/4718912.

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The purpose of this study is to propose a methodology that reflects the impact of interest rate risk on firms in supply chain network under bank financing and trade credit and further describe how trade credit improves the impact of interest rate risk on supply chain network through a financial flow equilibrium. A mean-variance framework and a network equilibrium analysis are integrated to provide a modeling framework. The model allows for the investigation of how bank credit financing (BCF) and trade credit financing (TCF) affect the payment strategy and financial flow of interconnected firms

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Ma, Wei, and Zhen (Sean) Qian. "A Generalized Single-Level Formulation for Origin–Destination Estimation under Stochastic User Equilibrium." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 48 (2018): 58–68. http://dx.doi.org/10.1177/0361198118782041.

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Origin–destination (OD) demand is an indispensable component for modeling transportation networks, and the prevailing approach to estimating OD demand using traffic data is through bi-level optimization. A bi-level optimization approach considering equilibrium constraints is computationally challenging for large-scale networks, which prevents the OD estimation (ODE) being scalable. To solve for ODE in large-scale networks, this paper develops a generalized single-level formulation for ODE incorporating stochastic user equilibrium (SUE) constraints. Two single-level ODE models are specifically

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S. R., Mugunthan. "Wireless Rechargeable Sensor Network Fault Modeling and Stability Analysis." March 2021 3, no. 1 (2021): 47–54. http://dx.doi.org/10.36548/jscp.2021.1.006.

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Wide attention has been acquired by the field of wireless rechargeable sensor networks (WRSNs ) across the globe due to its rapid developments. Addressing the security issues in the WRSNs is a crucial task. The process of reinfection, charging and removal in WRSN is performed with a low-energy infected susceptible epidemic model presented in this paper. A basic reproductive value is attained after which the epidemic equilibrium and disease-free points of global and local stabilities are simulated and analyzed. Relationship between the reproductive value and rate of charging as well as the stab

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Han, Fei, and Lin Cheng. "The Role of Initial Credit Distribution Scheme in Managing Network Mobility and Maximizing Reserve Capacity: Considering Traveler’s Cognitive Illusion." Discrete Dynamics in Nature and Society 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/7289621.

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The role of initial credit distribution scheme (ICDS) in managing network mobility has long been overlooked in previous studies of tradable credit scheme (TCS), which may make their results disputable in the reality, as the travelers possessing leftover credits can get some subsidy from the credit market and offset part of travel cost. In this paper, the disequilibrium phenomenon of previous user equilibrium (UE) solution is shown when traveler’s cognitive illusion (CI) is considered. Then, a new UE condition with TCS is defined with the ICDS and CI explicitly considered. To comprehensively re

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Zhang, Junlin, Dong Mo, and Xiqun (Michael) Chen. "Analyzing Ride-Sourcing Market Equilibrium and Its Transitions with Heterogeneous Users." Journal of Advanced Transportation 2022 (April 30, 2022): 1–24. http://dx.doi.org/10.1155/2022/5894250.

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With the justification of a comprehensive matching function approach, this study analyzes the ride-sourcing market with heterogeneous users. A single origin-destination (O-D) ride-sourcing market model is first developed. The model fills the major research gap to extend general user heterogeneity modeling from the transit market to the two-sided ride-sourcing market. Sufficient conditions that guarantee a unique market equilibrium are given. Equilibrium market operation with a profit-maximizing platform is explored. Equilibrium transitions with respect to the changes in different exogenous mar

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Kitthamkesorn, Songyot, Anthony Chen, Xiangdong Xu, and Seungkyu Ryu. "Modeling Mode and Route Similarities in Network Equilibrium Problem with Go-Green Modes." Networks and Spatial Economics 16, no. 1 (2013): 33–60. http://dx.doi.org/10.1007/s11067-013-9201-y.

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Joekar-Niasar, Vahid, and S. Majid Hassanizadeh. "Effect of fluids properties on non-equilibrium capillarity effects: Dynamic pore-network modeling." International Journal of Multiphase Flow 37, no. 2 (2011): 198–214. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2010.09.007.

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