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SCIENCE CHINA Information Sciences, Volume 63, Issue 2: 129303(2020) https://doi.org/10.1007/s11432-019-9841-4

A data analysis of political polarization using random matrix theory

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  • ReceivedJan 21, 2019
  • AcceptedMar 25, 2019
  • PublishedSep 12, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Science Fund for Distinguished Young Scholars (Grant No. 61325006), in part by National Nature Science Foundation of China (Grant No. 61631005), in part by Beijing Municipal Science and Technology Project (Grant No. Z181100003218005), and in part by 111 Project of China (Grant No. B16006).


References

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  • Figure 1

    (Color online) Results. (a) Eigenvalue distributions of Democrats and Republicans with the number of questions $N~=~10$ and the number of respondents $n~=~100$; (b) entropy estimations using RMT and LD; (c) list of the entropy increments.

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