Search Results - subject:"Complex Networks"

Dynamic fluctuation model of complex networks with weight scaling behavior and its application to airport networks

Zhang, Hai-Tian; Yu, Tao; Sang, Jian-Ping; Zou, Xian-Wu - In: Physica A: Statistical Mechanics and its Applications 393 (2014) C, pp. 590-599

Airport networks are a kind of complex systems that display significant fluctuations. To describe this kind of phenomena a dynamical fluctuation model is proposed. In this model the fluctuations in growth rates of weight are exponential. There are two adjustable parameters: the exponent β and...

Persistent link: https://www.econbiz.de/10011064136

Free to Move? A Network Analytic Approach for Learning the Limits to Job Mobility

Schmutte, Ian M. - In: Labour Economics 29 (2014) C, pp. 49-61

Job mobility has many overlapping determinants that are hard to characterize solely on the basis of industry or occupation transitions. Workers may match with, and move to, particular jobs on the basis of match quality, preferences, human capital, andmobility costs. This paper implements a novel...

Persistent link: https://www.econbiz.de/10010931240

Message survival and decision dynamics in a class of reactive complex systems subject to external fields

Rodriguez Lucatero, C.; Schaum, A.; Alarcon Ramos, L.; … - In: Physica A: Statistical Mechanics and its Applications 405 (2014) C, pp. 338-351

In this study, the dynamics of decisions in complex networks subject to external fields are studied within a Markov …

Persistent link: https://www.econbiz.de/10010931528

Correlation of automorphism group size and topological properties with program-size complexity evaluations of graphs and complex networks

Zenil, Hector; Soler-Toscano, Fernando; Dingle, Kamaludin; … - In: Physica A: Statistical Mechanics and its Applications 404 (2014) C, pp. 341-358

We show that numerical approximations of Kolmogorov complexity (K) of graphs and networks capture some group-theoretic and topological properties of empirical networks, ranging from metabolic to social networks, and of small synthetic networks that we have produced. That K and the size of the...

Persistent link: https://www.econbiz.de/10010931541

Effective non-universality of the quorum percolation model on directed graphs with Gaussian in-degree

Renault, Renaud; Monceau, Pascal; Bottani, Samuel; … - In: Physica A: Statistical Mechanics and its Applications 414 (2014) C, pp. 352-359

We investigate a model derived from bootstrap percolation on a directed random graph with Gaussian in-degree useful in describing the collective behavior of dissociated neuronal networks. By developing a continuous version of the model, we were able to provide accurate values of the critical...

Persistent link: https://www.econbiz.de/10010931545

The control gain region for synchronization in non-diffusively coupled complex networks

Gequn, Liu; Wenhui, Li; Huijie, Yang; Knowles, Gareth - In: Physica A: Statistical Mechanics and its Applications 405 (2014) C, pp. 17-24

The control gain region for synchronization of non-diffusively coupled networks was studied with respect to three conditions: synchronization, synchronization in finite time, and synchronization in the minimum time. Based on cancellation control methodology and master stability function...

Persistent link: https://www.econbiz.de/10010931548

Dynamic analysis of traffic time series at different temporal scales: A complex networks approach

Tang, Jinjun; Wang, Yinhai; Wang, Hua; Zhang, Shen; … - In: Physica A: Statistical Mechanics and its Applications 405 (2014) C, pp. 303-315

periodicity in traffic time series, we then construct complex networks from traffic time series by considering each day as a cycle … and each cycle as a single node. The optimal threshold value of complex networks is estimated by the distribution of … density and its derivative. In addition, the complex networks are subsequently analyzed in terms of some statistical …

Persistent link: https://www.econbiz.de/10010931560

A topological investigation of phase transitions of cascading failures in power grids

Koç, Yakup; Warnier, Martijn; Van Mieghem, Piet; … - In: Physica A: Statistical Mechanics and its Applications 415 (2014) C, pp. 273-284

Cascading failures are one of the main reasons for blackouts in electric power transmission grids. The economic cost of such failures is in the order of tens of billion dollars annually. The loading level of power system is a key aspect to determine the amount of the damage caused by cascading...

Persistent link: https://www.econbiz.de/10010939934

Detecting community structure via the maximal sub-graphs and belonging degrees in complex networks

Cui, Yaozu; Wang, Xingyuan; Eustace, Justine - In: Physica A: Statistical Mechanics and its Applications 416 (2014) C, pp. 198-207

Community structure is a common phenomenon in complex networks, and it has been shown that some communities in complex … complex networks. To identify the overlapping community structure, our algorithm firstly extracts fully connected sub … networks often overlap each other. So in this paper we propose a new algorithm to detect overlapping community structure in …

Persistent link: https://www.econbiz.de/10010939935

Uncovering the overlapping community structure of complex networks by maximal cliques

Li, Junqiu; Wang, Xingyuan; Cui, Yaozu - In: Physica A: Statistical Mechanics and its Applications 415 (2014) C, pp. 398-406

In this paper, a unique algorithm is proposed to detect overlapping communities in the un-weighted and weighted networks with considerable accuracy. The maximal cliques, overlapping vertex, bridge vertex and isolated vertex are introduced. First, all the maximal cliques are extracted by the...

Persistent link: https://www.econbiz.de/10010939958