中文
相关论文

相关论文: Error-correcting codes on scale-free networks

200 篇论文

Several studies on real complex networks from different fields as biology, economy, or sociology have shown that the degree of nodes (number of edges connected to each node) follows a scale-free power-law distribution like $P(k)\approx…

生物物理 · 物理学 2007-05-23 J. C. Nacher , T. Yamada , S. Goto , M. Kanehisa , T. Akutsu

We find that scale-free random networks are excellently modeled by a deterministic graph. This graph has a discrete degree distribution (degree is the number of connections of a vertex) which is characterized by a power-law with exponent…

统计力学 · 物理学 2009-11-07 S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

Much progress has been made on decoding algorithms for error-correcting codes in the last decade. In this article, we give an introduction to some fundamental results on iterative, message-passing algorithms for low-density parity check…

信息论 · 计算机科学 2007-07-16 Venkatesan Guruswami

We discuss how various models of scale-free complex networks approach their limiting properties when the size N of the network grows. We focus mainly on equilibrated networks and their finite-size degree distributions. Our results show that…

统计力学 · 物理学 2009-11-13 B. Waclaw , L. Bogacz , W. Janke

Low-density parity-check codes with irregular constructions have been recently shown to outperform the most advanced error-correcting codes to date. In this paper we apply methods of statistical physics to study the typical properties of…

无序系统与神经网络 · 物理学 2016-08-31 Renato Vicente , David Saad , Yoshiyuki Kabashima

Scale-free networks are characterized by a degree distribution with power-law behavior and have been shown to arise in many areas, ranging from the World Wide Web to transportation or social networks. Degree distributions of observed…

数据分析、统计与概率 · 物理学 2009-11-11 C. C. Leary , M. Schwehm , M. Eichner , H. P. Duerr

The degree-degree correlation is important in understanding the structural organization of a network and the dynamics upon a network. Such correlation is usually measured by the assortativity coefficient $r$, with natural bounds $r \in…

物理与社会 · 物理学 2017-04-26 Dan Yang , Liming Pan , Tao Zhou

A central claim in modern network science is that real-world networks are typically "scale free," meaning that the fraction of nodes with degree $k$ follows a power law, decaying like $k^{-\alpha}$, often with $2 < \alpha < 3$. However,…

物理与社会 · 物理学 2019-03-19 Anna D. Broido , Aaron Clauset

It is commonly believed that real networks are scale-free and fraction of nodes $P(k)$ with degree $k$ satisfies the power law $P(k) \propto k^{-\gamma} \text{ for } k > k_{min} > 0$. Preferential attachment is the mechanism that has been…

数据结构与算法 · 计算机科学 2023-06-22 Raheel Anwar , Muhammad Irfan Yousuf , Muhammad Abid

While previous works have shown that an overwhelming number of scale-free networks are sparse, there still exist some real-world networks including social networks, urban networks, information networks, which are by observation dense. In…

社会与信息网络 · 计算机科学 2020-10-29 Fei Ma , Xiaomin Wang , Ping Wang , Xudong Luo

In this paper, we present a novel way for solving the main problem of designing the capacity approaching irregular low-density parity-check (LDPC) code ensemble over binary erasure channel (BEC). The proposed method is much simpler, faster,…

信息论 · 计算机科学 2021-03-02 H. Tavakoli , M. Ahmadian Attari , M. R. Peyghami

Complex networks across various fields are often considered to be scale free -- a statistical property usually solely characterized by a power-law distribution of the nodes' degree $k$. However, this characterization is incomplete. In…

物理与社会 · 物理学 2023-10-24 Xiangyi Meng , Bin Zhou

Most existing works on analyzing the performance of a random ensemble of low-density parity-check (LDPC) codes assume that the degree distributions of the two ends of a randomly selected edge are independent. In the paper, we take one step…

信息论 · 计算机科学 2023-04-20 Hsiao-Wen Yu , Cheng-En Lee , Ruhui Zhang , Cheng-Shang Chang , Duan-Shin Lee

We derive the optimum second-order coding rates, known as second-order capacities, for erasure and list decoding. For erasure decoding for discrete memoryless channels, we show that second-order capacity is $\sqrt{V}\Phi^{-1}(\epsilon_t)$…

信息论 · 计算机科学 2014-04-22 Vincent Y. F. Tan , Pierre Moulin

This paper studies the capacity of single-source single-sink noiseless networks under adversarial or arbitrary errors on no more than z edges. Unlike prior papers, which assume equal capacities on all links, arbitrary link capacities are…

信息论 · 计算机科学 2010-11-18 Sukwon Kim , Tracey Ho , Michelle Effros , Amir Salman Avestimehr

The size and number of maximum matchings in a network have found a large variety of applications in many fields. As a ubiquitous property of diverse real systems, power-law degree distribution was shown to have a profound influence on size…

社会与信息网络 · 计算机科学 2017-03-28 Huan Li , Zhongzhi Zhang

The concept of network efficiency, recently proposed to characterize the properties of small-world networks, is here used to study the effects of errors and attacks on scale-free networks. Two different kinds of scale-free networks, i.e.…

凝聚态物理 · 物理学 2009-11-07 Paolo Crucitti , Vito Latora , Massimo Marchiori , Andrea Rapisarda

In this paper, we consider quantum error correction over depolarizing channels with non-binary low-density parity-check codes defined over Galois field of size $2^p$ . The proposed quantum error correcting codes are based on the binary…

信息论 · 计算机科学 2016-11-15 Kenta Kasai , Manabu Hagiwara , Hideki Imai , Kohichi Sakaniwa

Most of various large-size complex systems in nature and society can be well described as complex networks (graphs) to better understand the evolutional mechanisms and dynamical functions behind themselves. Of some part follow scale-free…

物理与社会 · 物理学 2023-08-08 Fei Ma

It has been well-known that many real networks are scale-free (SF) but extremely vulnerable against attacks. We investigate the robustness of connectivity and the lengths of the shortest loops in randomized SF networks with realistic…

社会与信息网络 · 计算机科学 2026-02-03 Yingzhou Mou , Yukio Hayashi
‹ 上一页 1 2 3 10 下一页 ›