Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis
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DOI: 10.1371/journal.pone.0066344
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References listed on IDEAS
- J. P. Herrera & P. A. Pury, 2008. "Statistical keyword detection in literary corpora," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(1), pages 135-146, May.
- Stephen P. Harter, 1975. "A probabilistic approach to automatic keyword indexing. Part I. On the Distribution of Specialty Words in a Technical Literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 26(4), pages 197-206, July.
- Ramon Ferrer-i-Cancho & Brita Elvevåg, 2010. "Random Texts Do Not Exhibit the Real Zipf's Law-Like Rank Distribution," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-10, March.
- Marcelo A. Montemurro & Damián H. Zanette, 2010. "Towards The Quantification Of The Semantic Information Encoded In Written Language," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 135-153.
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Cited by:
- Vladimír Matlach & Barbora Anna Janečková & Daniel Dostál, 2022. "The Voynich manuscript: Symbol roles revisited," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-26, January.
- Corrêa, Edilson A. & Marinho, Vanessa Q. & Amancio, Diego R., 2020. "Semantic flow in language networks discriminates texts by genre and publication date," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
- Nazim Choudhury & Shahadat Uddin, 2016. "Time-aware link prediction to explore network effects on temporal knowledge evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 745-776, August.
- Choudhury, Nazim & Faisal, Fahim & Khushi, Matloob, 2020. "Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction," Journal of Informetrics, Elsevier, vol. 14(3).
- Espitia, Diego & Larralde, Hernán, 2020. "Universal and non-universal text statistics: Clustering coefficient for language identification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
- Quispe, Laura V.C. & Tohalino, Jorge A.V. & Amancio, Diego R., 2021. "Using virtual edges to improve the discriminability of co-occurrence text networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
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