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Stability and transition in multiple production lines
Nagatani, Takashi - In: Physica A: Statistical Mechanics and its Applications 334 (2004) 1, pp. 243-254
We present the dynamical model of the multiple production lines composed of M parallel and u series machines. We extend the single-series production line model to the multiple production lines. We study the effect of the multiple lines on the dynamical behavior of the production process. We...
Persistent link: https://www.econbiz.de/10010589052
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Dynamical transition in random supply chain
Nagatani, Takashi - In: Physica A: Statistical Mechanics and its Applications 335 (2004) 3, pp. 661-670
We present the stochastic model of the supply chain composed of u series machines and buffers. Each machine has an adaptation time (delay) different from the other and each buffer has a capacity of storage different from the other. We extend the deterministic supply chain model to the stochastic...
Persistent link: https://www.econbiz.de/10010590143
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Social networks: Evolving graphs with memory dependent edges
Grindrod, Peter; Parsons, Mark - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 21, pp. 3970-3981
social network data collection and analysis in recent years. Within many such networks the interactions are transient: thus … those networks evolve over time. In this paper we introduce a class of models for such networks using evolving graphs with … memory dependence. In particular we show that such networks may continue evolving forever, or else may quench and become …
Persistent link: https://www.econbiz.de/10010872844
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Untangling complex networks: Risk minimization in financial markets through accessible spin glass ground states
Lisewski, Andreas Martin; Lichtarge, Olivier - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 16, pp. 3250-3253
network’s Laplacian matrix. In that regime, this novel approach is robust to noise in empirical data and may be also broadly … relevant to complex networks with frustrated interactions that are studied throughout scientific fields. …
Persistent link: https://www.econbiz.de/10010872861
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Ising-like agent-based technology diffusion model: Adoption patterns vs. seeding strategies
Laciana, Carlos E.; Rovere, Santiago L. - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 6, pp. 1139-1149
adoption speed. Finally, we performed a simulation of competition between options for both regular and small world networks. …
Persistent link: https://www.econbiz.de/10010873028
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Cooperative networks overcoming defectors by social influence
Gomez Portillo, Ignacio - In: Physica A: Statistical Mechanics and its Applications 394 (2014) C, pp. 198-210
We address the cooperation problem in structured populations by considering the prisoner’s dilemma game as a metaphor of the social interactions between individuals with imitation capacity. We present a new strategy update rule called democratic weighted update where the individual’s...
Persistent link: https://www.econbiz.de/10010873822
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The Medieval inquisition: scale-free networks and the suppression of heresy
Ormerod, Paul; Roach, Andrew P - In: Physica A: Statistical Mechanics and its Applications 339 (2004) 3, pp. 645-652
Qualitative evidence suggests that heresy within the medieval Church had many of the characteristics of a scale-free network. From the perspective of the Church, heresy can be seen as an infectious disease. The disease persisted for long periods of time, breaking out again even when the Church...
Persistent link: https://www.econbiz.de/10010873924
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Self-organized scale-free networks generated via Merging-and-Creation dynamics with preferential attachment
Yook, Soon-Hyung; Park, Juyong - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 21, pp. 4034-4037
disassortativity, commonly found in technological networks. …
Persistent link: https://www.econbiz.de/10010873953
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Critical brain networks
R. Chialvo, Dante - In: Physica A: Statistical Mechanics and its Applications 340 (2004) 4, pp. 756-765
Highly correlated brain dynamics produces synchronized states with no behavioral value, while weakly correlated dynamics prevents information flow. We discuss the idea put forward by Per Bak that the working brain stays at an intermediate (critical) regime characterized by power-law correlations.
Persistent link: https://www.econbiz.de/10010874052
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Self-organized and driven phase synchronization in coupled map networks
Amritkar, R.E.; Jalan, Sarika - In: Physica A: Statistical Mechanics and its Applications 321 (2003) 1, pp. 220-225
We study synchronization of coupled logistic maps on networks. For small coupling strengths nodes show turbulent …
Persistent link: https://www.econbiz.de/10010874284