Narrow search
Showing 1 - 10 of 107
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
Growing network: Models following nonlinear preferential attachment rule
Zadorozhnyi, V.N.; Yudin, E.B. - In: Physica A: Statistical Mechanics and its Applications 428 (2015) C, pp. 111-132
We investigate the preferential attachment graphs proceeding from the following two assumptions. The first one: the probability that a new vertex connects to a vertex i is proportional to an arbitrary nonnegative function f of a vertex degree k. The second assumption: a new vertex can have a...
Persistent link: https://www.econbiz.de/10011209723
Cover Image
The effects of node exclusion on the centrality measures in graph models of interacting economic agents
Caetano, Marco Antonio Leonel; Yoneyama, Takashi - In: Physica A: Statistical Mechanics and its Applications 430 (2015) C, pp. 216-223
This work concerns the study of the effects felt by a network as a whole when a specific node is perturbed. Many real world systems can be described by network models in which the interactions of the various agents can be represented as an edge of a graph. With a graph model in hand, it is...
Persistent link: https://www.econbiz.de/10011264554