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Pérez-Melián, JA, Conejero, JA and Ferri, C (2017). Zipf's and Benford's laws in Twitter hashtags. Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics.

This work cites the following items of the Benford Online Bibliography:


Battersby, S (2009). Statistics hint at fraud in Iranian election. New Scientist, 24 June, 202(2714), p. 10. View Complete Reference Online information Works that this work references Works that reference this work
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Bërdufi, D (2013). Statistical Detection of Vote Count Fraud: 2009 Albanian Parliamentary Election and Benford’s Law. Academic Journal of Interdisciplinary Studies 2(8), pp. 379-396. (Also published in Mediterranean Journal of Social Sciences, 5(2) pp. 755– 771). DOI:10.5901/ajis.2013.v2n8p379. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34. View Complete Reference Online information Works that this work references Works that reference this work
Friar, JL, Goldman, T and Pérez–Mercader, J (2012). Genome Sizes and the Benford Distribution. PLoS ONE 7(5): e36624. DOI:10.1371/journal.pone.0036624. View Complete Reference Online information Works that this work references Works that reference this work
Golbeck, J (2015). Benford’s Law Applies to Online Social Networks. PLoS ONE 10(8): e0135169. DOI:10.1371/journal.pone.0135169. View Complete Reference Online information Works that this work references Works that reference this work
Hickman, MJ and Rice, SK (2010). Digital Analysis of Crime Statistics: Does Crime Conform to Benford’s Law?. Journal of Quantitative Criminology 26(3), pp. 333-349. ISSN/ISBN:1573-7799. DOI:10.1007/s10940-010-9094-6. View Complete Reference Online information Works that this work references Works that reference this work
Huang, SM, Yen, DC, Yang, LW and Hua, JS (2008). An investigation of Zipf's Law for fraud detection. Decision Support Systems 46(1), pp. 70-83. DOI:10.1016/j.dss.2008.05.003. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work