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Information categorization approach to literary authorship disputes

Author

Listed:
  • Yang, Albert C.-C
  • Peng, C.-K
  • Yien, H.-W
  • Goldberger, Ary L

Abstract

Scientific analysis of the linguistic styles of different authors has generated considerable interest. We present a generic approach to measuring the similarity of two symbolic sequences that requires minimal background knowledge about a given human language. Our analysis is based on word rank order–frequency statistics and phylogenetic tree construction. We demonstrate the applicability of this method to historic authorship questions related to the classic Chinese novel “The Dream of the Red Chamber,” to the plays of William Shakespeare, and to the Federalist papers. This method may also provide a simple approach to other large databases based on their information content.

Suggested Citation

  • Yang, Albert C.-C & Peng, C.-K & Yien, H.-W & Goldberger, Ary L, 2003. "Information categorization approach to literary authorship disputes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(3), pages 473-483.
    • Handle: RePEc:eee:phsmap:v:329:y:2003:i:3:p:473-483
    DOI: 10.1016/S0378-4371(03)00622-8
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    Citations

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    Cited by:

    1. Wang, Yuanyuan & Shang, Pengjian, 2018. "A new measurement of financial time irreversibility based on information measures method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 221-230.
    2. Saakian, David B. & Ghazaryan, Makar & Bratus, Alexander & Hu, Chin-Kun, 2017. "Biological evolution model with conditional mutation rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 32-38.
    3. Wu, Hsien-Tsai & Hsu, Po-Chun & Sun, Cheuk-Kwan & Liu, An-Bang & Lin, Zong-Lin & Tang, Chieh-Ju & Lo, Men-Tzung, 2013. "Assessing vascular endothelial function using frequency and rank order statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3122-3131.
    4. Zeng, Hong-Li & Zhu, Chen-Ping & Wang, Shu-Xuan & Guo, Yan-Dong & Gu, Zhi-Ming & Hu, Chin-Kun, 2020. "Scaling behaviors and self-organized criticality of two-dimensional small-world neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    5. Tian, Qiang & Shang, Pengjian & Feng, Guochen, 2014. "Financial time series analysis based on information categorization method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 183-191.

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