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It is commonly known that there exist short paths between vertices in a network showing the small-world effect. Yet vertices, for example, the individuals living in society, usually are not able to find the shortest paths, due to the very…

统计力学 · 物理学 2009-11-10 Han Zhu , Zhuang-Xiong Huang

We study the Kleinberg problem of navigation in Small World networks when the underlying lattice is a fractal consisting of N>>1 nodes. Our extensive numerical simulations confirm the prediction that most efficient navigation is attained…

统计力学 · 物理学 2007-05-23 Mickey R. Roberson , Daniel ben-Avraham

The small-world property is known to have a profound effect on the navigation efficiency of complex networks [J. M. Kleinberg, Nature 406, 845 (2000)]. Accordingly, the proper addition of shortcuts to a regular substrate can lead to the…

无序系统与神经网络 · 物理学 2014-07-15 Cláudio L. N. Oliveira , Pablo A. Morais , André A. Moreira , José S. Andrade

In this study we have carried out computer simulations of random walks on Watts-Strogatz-type small world networks and measured the mean number of visited sites and the return probabilities. These quantities were found to obey scaling…

统计力学 · 物理学 2009-11-07 Jani Lahtinen , János Kertész , Kimmo Kaski

The Watts-Strogatz algorithm transferring a regular lattice to the small world network is modified by introducing preferential rewiring constrained by connectivity demand. The probability to link to/ unlink form a node is dependent on a…

材料科学 · 物理学 2007-05-23 Danuta Makowiec

We propose a dynamical process for network evolution, aiming at explaining the emergence of the small world phenomenon, i.e., the statistical observation that any pair of individuals are linked by a short chain of acquaintances computable…

数据结构与算法 · 计算机科学 2008-03-04 Augustin Chaintreau , Pierre Fraigniaud , Emmanuelle Lebhar

The Watts-Strogatz algorithm of transferring the square lattice to a small world network is modified by introducing preferential rewiring constrained by connectivity demand. The evolution of the network is two-step: sequential preferential…

统计力学 · 物理学 2009-11-11 Danuta Makowiec

Small-world networks are the focus of recent interest because they appear to circumvent many of the limitations of either random networks or regular lattices as frameworks for the study of interaction networks of complex systems. Here, we…

统计力学 · 物理学 2012-03-08 Luis A. Nunes Amaral , Antonio Scala , Marc Barthelemy , H. Eugene Stanley

Supplementing a lattice with long-range connections effectively models small-world networks characterized by a high local and global interconnectedness observed in systems ranging from society to the brain. If the links have a wiring cost…

无序系统与神经网络 · 物理学 2007-05-23 Thomas Petermann , Paolo De Los Rios

Small-world networks (SWN), obtained by randomly adding to a regular structure additional links (AL), are of current interest. In this article we explore (based on physical models) a new variant of SWN, in which the probability of realizing…

统计力学 · 物理学 2009-10-31 S. Jespersen , A. Blumen

A dynamical model of small-world network, with directed links which describe various correlations in social and natural phenomena, is presented. Random responses of every site to the imput message are introduced to simulate real systems.…

无序系统与神经网络 · 物理学 2009-11-10 Chen-Ping Zhu , Shi-Jie Xiong , Ying-Jie Tian , Lan Li , Ke-Sheng Jiang

Supplementing a lattice with long-range connections effectively models small-world networks characterized by a high local and global interconnectedness observed in systems ranging from society to the brain. If the links have a wiring cost…

无序系统与神经网络 · 物理学 2007-05-23 Thomas Petermann , Paolo De Los Rios

We explore a new variant of Small-World Networks (SWNs), in which an additional parameter ($r$) sets the length scale over which shortcuts are uniformly distributed. When $r=0$ we have an ordered network, whereas $r=1$ corresponds to the…

物理与社会 · 物理学 2011-03-02 Tao Jia , Rahul V. Kulkarni

Dating back to two famous experiments by the social-psychologist, Stanley Milgram, in the 1960s, the small-world phenomenon is the idea that all people are connected through a short chain of acquaintances that can be used to route messages.…

数据结构与算法 · 计算机科学 2022-12-16 Michael T. Goodrich , Evrim Ozel

Since its recent introduction, the small-world effect has been identified in several important real-world systems. Frequently, it is a consequence of the existence of a few long-range connections, which dominate the original regular…

物理与社会 · 物理学 2011-05-05 Matheus P. Viana , Luciano da F. Costa

Small-world networks---complex networks characterized by a combination of high clustering and short path lengths---are widely studied using the paradigmatic model of Watts and Strogatz (WS). Although the WS model is already quite minimal…

社会与信息网络 · 计算机科学 2014-12-02 H. Francis Song , Xiao-Jing Wang

Small-world networks by Watts and Strogatz are a class of networks that are highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. These characteristics result in networks with unique…

适应与自组织系统 · 物理学 2011-09-27 Qawi K. Telesford , Karen E. Joyce , Satoru Hayasaka , Jonathan H. Burdette , Paul J. Laurienti

Watts and Strogatz [Nature 393, 440 (1998)] have recently introduced a model for disordered networks and reported that, even for very small values of the disorder $p$ in the links, the network behaves as a small-world. Here, we test the…

统计力学 · 物理学 2009-10-31 Marc Barthelemy , Luis A. N. Amaral

Empirical studies on the spatial structures in several real transport networks reveal that the distance distribution in these networks obeys power law. To discuss the influence of the power-law exponent on the network's structure and…

物理与社会 · 物理学 2015-05-14 Hua Yang , Yuchao Nie , Ying Fan , Yanqing Hu , Zengru Di

Quantitative descriptions of network structure in big data can provide fundamental insights into the function of interconnected complex systems. Small-world structure, commonly diagnosed by high local clustering yet short average path…

神经元与认知 · 定量生物学 2015-05-12 Sarah Feldt Muldoon , Eric W. Bridgeford , Danielle S. Bassett
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