45 Papers
225 Citations
Xu Cai is an academic researcher from Central China Normal University. The author has contributed to research in topics: Degree distribution & Interdependent networks. The author has an hindex of 10, co-authored 43 publications.
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Papers
Non-linear characteristics and long-range correlations in Asian stock markets
TL;DR: In this article, the authors used detrended fluctuation analysis (DFA) to investigate the long range correlation of the volatility in the stock markets, and found that the crossover phenomena exist in the results of DFA.
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Geographic coarse graining analysis of the railway network of China
TL;DR: In this paper, the authors investigated the statistical properties of the railway network of China in space L and space G, constructed by geographic coarse graining process, and investigated the path length that every train runs, the distribution of the railroad length per degree and the optimal distribution of stations.
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Empirical study of recent Chinese stock market
TL;DR: Wang et al. as discussed by the authors investigated the statistical properties of the empirical data taken from the Chinese stock market during the time period from January to July, 2007, and obtained evidence of strong correlations among different stock types, stock index, stock volume turnover, A share (B share) seat number and GDP per capita.
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The principle of least effort and Zipf distribution
Yueying Zhu,Benwei Zhang,Qiuping Alexandre Wang,Wei Li,Xu Cai +4 more
- 01 Nov 2018
Abstract: ”Each individual will adopt a course of action that will involve the expenditure of the probably least average of his work.” This statement was named ”the principle of least effort”. The principle of least effort is often known as a ”deterministic description of human behavior”. In this paper, we present a brief introduction of this principle. Applications of the principle in different fields are also summarized. As the principle of least effort is proposed by Zipf, it is also called Zipf’s law. We then discuss the correlation between three widely considered distributions: Zipf distribution, Pareto distribution and probability distribution. With empirical investigations, it is often stated that, most social behaviors are controlled by the pure Zipf’s law that corresponds to the Zipf distribution of exponent -1. We summarily present the discovery of Zipf’s law in different social behaviors. Some empirical studies are also given as examples, verifying that, in most countries, the distribution of city size by population follows Zipf’s law, and the exponent of Zipf distribution of individual income is about -0.5, the same as Zipf predicted in theory.
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Scaling and correlations in foreign exchange market
TL;DR: In this article, the distribution of eigenvalues of correlation matrix of relative return also follows a power-law and the influence strength for a certain currency is defined as the influence of its price change to the community interested.
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