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Much recent empirical evidence shows that \textit{community structure} is ubiquitous in the real-world networks. In this Letter, we propose a growth model to create scale-free networks with the tunable strength (noted by $Q$) of community…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Gang Yan , Zhong-Qian Fu , Jie Ren , Wen-Xu Wang

We investigate the role of cooperation in wireless networks subject to a spatial degrees of freedom limitation. To address the worst case scenario, we consider a free-space line-of-sight type environment with no scattering and no fading. We…

Information Theory · Computer Science 2016-11-17 Ayfer Ozgur , Olivier Leveque , David Tse

We study complex networks with weights, $w_{ij}$, associated with each link connecting node $i$ and $j$. The weights are chosen to be correlated with the network topology in the form found in two real world examples, (a) the world-wide…

Physics and Society · Physics 2009-11-13 Zhenhua Wu , Lidia A. Braunstein , Vittoria Colizza , Reuven Cohen , Shlomo Havlin , H. Eugene Stanley

We investigate the statistics of the most connected nodes in scale-free networks. For a scale-free network model with homogeneous nodes, we show by means of extensive simulations that the exponential truncation--due to the finite size of…

Disordered Systems and Neural Networks · Physics 2007-05-23 Andre Auto Moreira , Jose Soares de Andrade , Luis A. Nunes Amaral

We study the condensation phenomenon in a zero range process on weighted scale-free networks in order to show how the weighted transport influences the particle condensation. Instead of the approach of grand canonical ensemble which is…

Statistical Mechanics · Physics 2008-02-26 Ming Tang , Zonghua Liu , Jie Zhou

Using Memory Tabu Search(MTS) algorithm, we investigate the relationship between structural characters and synchronizability of scale-free networks by maximizing and minimizing the ratio $Q$ of the eigenvalues of the coupling matrix by…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Jian-Guo Liu , Yan-Zhong Dang , Qiang Guo , Zhong-Tuo Wang

Learning the network structure underlying data is an important problem in machine learning. This paper introduces a novel prior to study the inference of scale-free networks, which are widely used to model social and biological networks.…

Machine Learning · Computer Science 2015-06-19 Qingming Tang , Siqi Sun , Jinbo Xu

We study synchronization in scalar nonlinear systems connected over a linear network with stochastic uncertainty in their interactions. We provide a sufficient condition for the synchronization of such network systems expressed in terms of…

Optimization and Control · Mathematics 2017-02-20 Amit Diwadkar , Umesh Vaidya

Using a steady state process of node duplication and deletion we produce networks with 1/k scale-free degree distributions in the limit of vanishing connectance. This occurs even though there is no growth involved and inherent preferential…

Statistical Mechanics · Physics 2007-05-23 Simon Laird , Henrik Jeldtoft Jensen

A network is formed using the $N$ sites of an one-dimensional lattice in the shape of a ring as nodes and each node with the initial degree $k_{in}=2$. $N$ links are then introduced to this network, each link starts from a distinct node,…

Statistical Mechanics · Physics 2009-11-07 G. Mukherjee , S. S. Manna

Hierarchical networks actually have many applications in the real world. Firstly, we propose a new class of hierarchical networks with scale-free and fractal structure, which are the networks with triangles compared to traditional…

Combinatorics · Mathematics 2022-11-23 Jia-Bao Liu , Yan Bao , Wu-Ting Zheng

We study a zero range process on scale-free networks in order to investigate how network structure influences particle dynamics. The zero range process is defined with the particle jumping rate function $p(n)=n^\delta$. We show analytically…

Statistical Mechanics · Physics 2011-07-19 Jae Dong Noh , G. M. Shim , Hoyun Lee

Through the distinction between ``real'' and ``virtual'' links between the nodes of a graph, we develop a set of simple rules leading to scale-free networks with a tunable degree distribution exponent. Albeit sharing some similarities with…

Statistical Mechanics · Physics 2007-05-23 F. Stauffer

We propose and study a model of traffic in communication networks. The underlying network has a structure that is tunable between a scale-free growing network with preferential attachments and a random growing network. To model realistic…

Networking and Internet Architecture · Computer Science 2008-06-12 Zonghua Liua , Weichuan Ma , Huan Zhang , Yin Sun , P. M. Hui

Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, social and biological networks are often characterized by degree-degree dependencies between neighbouring nodes. In this paper we propose a new way…

Physics and Society · Physics 2015-06-04 Nelly Litvak , Remco van der Hofstad

Networks of Kuramoto oscillators with a positive correlation between the oscillators frequencies and the degree of the their corresponding vertices exhibits the so-called explosive synchronization behavior, which is now under intensive…

Adaptation and Self-Organizing Systems · Physics 2015-03-02 Rafael S. Pinto , Alberto Saa

The dynamics of zero-range processes on complex networks is expected to be influenced by the topological structure of underlying networks. A real space complete condensation phase transition in the stationary state may occur. We have…

Statistical Mechanics · Physics 2019-11-05 Guifeng Su , Xiaowen Li , Yi Zhang , Xiaobing Zhang

In this letter, we consider the effect of clustering coefficient on the synchronizability of coupled oscillators located on scale-free networks. The analytic result for the value of clustering coefficient aiming at a highly clustered…

Statistical Mechanics · Physics 2009-11-11 Xiang Wu , Bing-Hong Wang , Tao Zhou , Wen-Xu Wang , Ming Zhao , Hui-jie Yang

We study the effects of the degree distribution in mutual synchronization of two-layer neural networks. We carry out three coupling strategies: large-large coupling, random coupling, and small-small coupling. By computer simulations and…

Disordered Systems and Neural Networks · Physics 2007-05-23 Sheng-Jun Wang , Xin-Jian Xu , Zhi-Xi Wu , Ying-Hai Wang

In conventional cellular networks, for base stations (BSs) that are deployed far away from each other, it is general to assume them to be mutually independent. Nevertheless, after long-term evolution of cellular networks in various…

Social and Information Networks · Computer Science 2016-12-16 Chao Yuan , Zhifeng Zhao , Rongpeng Li , Meng Li , Honggang Zhang