Search Results - subject:"Complex Networks"

Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam

Mei, Shan; Sloot, P.M.A.; Quax, Rick; Zhu, Yifan; Wang, … - In: Mathematics and Computers in Simulation (MATCOM) 80 (2010) 5, pp. 1018-1030

and complex networks, in which agents represent individuals who can have sexual interactions. The applicability of CANs is …

Persistent link: https://www.econbiz.de/10010870527

Robustness of networks against cascading failures

Dou, Bing-Lin; Wang, Xue-Guang; Zhang, Shi-Yong - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 11, pp. 2310-2317

Inspired by other related works, this paper proposes a non-linear load-capacity model against cascading failures, which is more suitable for real networks. The simulation was executed on the B-A scale-free network, E-R random network, Internet AS level network, and the power grid of the western...

Persistent link: https://www.econbiz.de/10010871549

Characterizing topological and dynamical properties of complex networks without border effects

Viana, Matheus Palhares; Travençolo, Bruno A.N.; … - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 8, pp. 1771-1778

The properties of complex networks are highly influenced by border effects frequently found as a consequence of the …

Persistent link: https://www.econbiz.de/10010871837

Convergence of fundamentalists and chartists’ expectations: An alarm for stock market crash

Bolgorian, Meysam; Raei, Reza - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 18, pp. 3822-3827

We construct a network of the Tehran stock market based on the cross-correlation of trading volume of stocks both for fundamentalists and chartists. In order to investigate the dynamics of expectations of fundamentalists and chartists over time we introduced a homogeneity coefficient. Our...

Persistent link: https://www.econbiz.de/10010871926

Mixing search on complex networks

Pu, Cun-Lai; Pei, Wen-Jiang - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 3, pp. 587-594

complex networks and find that our model converges much faster with lower hardware cost than Zhou’s model. Moreover …

Persistent link: https://www.econbiz.de/10010871989

Weighted Fractal Networks

Carletti, Timoteo; Righi, Simone - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 10, pp. 2134-2142

In this paper we define a new class of weighted complex networks sharing several properties with fractal sets, and …

Persistent link: https://www.econbiz.de/10010873143

Self-organized diffusion of congestion in complex networks

Zheng, Jian-Feng; Gao, Zi-You; Zhao, Xiao-Mei; Dai, Shuai; … - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 2, pp. 342-348

In this work, we propose and study a model for the diffusion of congestion in complex networks. According to the … in complex networks are studied. We recover a power-law scaling relation between the standard deviation and mean flow … effective strategies for diffusing the local and the global congestion in complex networks, respectively. …

Persistent link: https://www.econbiz.de/10010873331

Channel block-optimized spiking activity of Hodgkin–Huxley neurons on random networks

Gong, Yubing; Hao, Yinghang; Xie, Yanhang - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 2, pp. 349-357

In this paper, we numerically study the effect of channel block on the spiking temporal coherence and spatial synchronization on Hodgkin–Huxley (HH) neuron networks. It is found that under sodium CB the spike coherence is badly reduced, and the synchronization can, depending on the network...

Persistent link: https://www.econbiz.de/10010873579

Motif structure and cooperation in real-world complex networks

Salehi, Mostafa; Rabiee, Hamid R.; Jalili, Mahdi - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 23, pp. 5521-5529

mathematics to physics, technology, sociology and biology. Collective behavior of agents interacting over complex networks is …

Persistent link: https://www.econbiz.de/10010873697

Detecting community structure in complex networks using simulated annealing with k-means algorithms

Liu, Jian; Liu, Tingzhan - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 11, pp. 2300-2309

Identifying the community structure in a complex network has been addressed in many different ways. In this paper, the simulated annealing strategy is used to maximize the modularity of a network, associating with a dissimilarity-index-based and with a diffusion-distance-based k-means iterative...

Persistent link: https://www.econbiz.de/10010874134