Search Results - subject:"Complex Networks"

A unified model for Sierpinski networks with scale-free scaling and small-world effect

Guan, Jihong; Wu, Yuewen; Zhang, Zhongzhi; Zhou, Shuigeng; … - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 12, pp. 2571-2578

In this paper, we propose an evolving Sierpinski gasket, based on which we establish a model of evolutionary Sierpinski networks (ESNs) that unifies deterministic Sierpinski network [Z.Z. Zhang, S.G. Zhou, T. Zou, L.C. Chen, J.H. Guan, Eur. Phys. J. B 60 (2007) 259] and random Sierpinski network...

Persistent link: https://www.econbiz.de/10011062755

Effects of expectation and noise on evolutionary games

Du, Wen-Bo; Cao, Xian-Bin; Hu, Mao-Bin; Yang, Han-Xin; … - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 11, pp. 2215-2220

Considering the difference between the actual and expected payoffs, we bring a stochastic learning updating rule into an evolutionary Prisoners Dilemma game and the Snowdrift game on scale-free networks, and then investigate how the expectation level A and environmental noise κ influence...

Persistent link: https://www.econbiz.de/10011063499

EMERGENCE OF SCALE-FREE NETWORKS IN MARKETS

TSENG, JIE-JUN; LI, SAI-PING; CHEN, SHU-HENG; WANG, … - In: Advances in Complex Systems (ACS) 12 (2009) 01, pp. 87-97

. We propose here a new concept inspired by complex networks to study the trading behavior and the dynamics of markets. A …

Persistent link: https://www.econbiz.de/10005047414

QUANTIFYING SOCIAL AND OPPORTUNISTIC BEHAVIOR IN EMAIL NETWORKS

GOMES, LUIZ H.; ALMEIDA, VIRGILIO A. F.; ALMEIDA, JUSSARA M. - In: Advances in Complex Systems (ACS) 12 (2009) 01, pp. 99-112

Email graphs have been used to illustrate the general properties of social networks of communication and collaboration. However, increasingly, the majority of Internet traffic reflects opportunistic rather than symbiotic social relations. Here we use email data drawn from a large university to...

Persistent link: https://www.econbiz.de/10005047478

THE ONTOGENY OF SCALE-FREE SYNTAX NETWORKS: PHASE TRANSITIONS IN EARLY LANGUAGE ACQUISITION

COROMINAS-MURTRA, BERNAT; VALVERDE, SERGI; SOLÉ, RICARD - In: Advances in Complex Systems (ACS) 12 (2009) 03, pp. 371-392

present the first analysis of the emergence of syntax in terms of complex networks. A previously unreported, sharp transition …

Persistent link: https://www.econbiz.de/10005011434

Microscopic spin model for the stock market with attractor bubbling on scale-free networks

Krawiecki, Andrzej - In: Journal of Economic Interaction and Coordination 4 (2009) 2, pp. 213-220

Persistent link: https://www.econbiz.de/10005015111

TOPOLOGICAL ANALYSIS OF SPECIFIC SPATIAL COMPLEX NETWORKS

WANG, JUN; PROVAN, GREGORY - In: Advances in Complex Systems (ACS) 12 (2009) 01, pp. 45-71

Based on analyses of specific spatial networks, we compare the accuracy of three models in capturing topologies of two types of spatial networks: electronic circuits and brain networks. The models analyzed are an optimization model trading off multiple-objective constraints, an extended...

Persistent link: https://www.econbiz.de/10005050864

A fast and efficient heuristic algorithm for detecting community structures in complex networks

Chen, Duanbing; Fu, Yan; Shang, Mingsheng - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 13, pp. 2741-2749

Community structure is an important property of complex networks. How to detect the communities is significant for … to detect community structures in complex networks. According to daily experience, a community should have many nodes and … in complex networks is proposed in this paper. The key strategy of the algorithm is to mine a node with the closest …

Persistent link: https://www.econbiz.de/10010588693

Effect of edge removal on topological and functional robustness of complex networks

He, Shan; Li, Sheng; Ma, Hongru - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 11, pp. 2243-2253

We study the robustness of several network models subject to edge removal. The robustness is measured by the statistics of network breakdowns, where a breakdown is defined as the destroying of the total connectedness of a network, rather than the disappearance of the giant component. We...

Persistent link: https://www.econbiz.de/10010589270

Eigenvectors of network complement reveal community structure more accurately

Zarei, Mina; Samani, Keivan Aghababaei - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 8, pp. 1721-1730

We propose a general spectral method to find communities of a network based on network complement and anti-community concepts. Analytical and numerical results show that the eigenspace of matrices corresponding to a network complement reveals the community structure of a network more accurately...

Persistent link: https://www.econbiz.de/10010589366