JOI-R1_16122019_Words ranking and Hirsch index for identifying the core of the hapaxes in political texts.pdf (789.72 kB)
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Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

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posted on 02.07.2020, 10:05 by Valerio Ficcadenti, Roy Cerqueti, Marcel Ausloos, Gurjeet Dhesi
This paper deals with a quantitative analysis of the content of official political speeches. We study a set of about one thousand talks pronounced by the US Presidents, ranging from Washington to Trump. In particular, we search for the relevance of the rare words, i.e. those said only once in each speech -- the so-called hapaxes. We implement a rank-size procedure of Zipf-Mandelbrot type for discussing the hapaxes' frequencies regularity over the overall set of speeches. Starting from the obtained rank-size law, we define and detect the core of the hapaxes set by means of a procedure based on an Hirsch index variant. We discuss the resulting list of words in the light of the overall US Presidents' speeches. We further show that this core of hapaxes itself can be well fitted through a Zipf-Mandelbrot law and that contains elements producing deviations at the low ranks between scatter plots and fitted curve -- the so-called king and vice-roy effect. Some socio-political insights are derived from the obtained findings about the US Presidents messages.

History

Citation

Journal of Informetrics, Volume 14, Issue 3, 2020, 101054

Author affiliation

School of Business

Version

AM (Accepted Manuscript)

Published in

Journal of Informetrics

Volume

14

Issue

3

Publisher

Elsevier BV

issn

1751-1577

Acceptance date

13/05/2020

Copyright date

2020

Available date

31/05/2021

Language

en

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