The wasted vote phenomenon with uncertain voter population

Chen, Yuelan; Xia, Aihua

doi:10.1007/s00355-010-0500-7

Cited by 1 publication

(1 citation statement)

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“…Sciarini and Goldberg [37] explored the issue of response bias in post-election surveys, in which they found that individuals who were more politically involved tended to over-report their voting history and receive higher survey participation rates. Chen and Xia [38] studied the impact of voter population uncertainty on the wasted vote phenomenon in elections. Saari [39] introduced a new mathematical framework for understanding voting systems and their potential for producing paradoxical outcomes.…”

Section: Fractional Order Applications In Multi-disciplinary Fieldsmentioning

confidence: 99%

Analyzing election trends incorporating memory effect through a fractional-order mathematical modeling

Santra,

Mahapatra

2024

Phys. Scr.

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This study proposes a new mathematical model to analyze and predict the results of a political election. In general, we predict or analyze the results using statistical methods; however, to minimize the effort of the study, we propose a fractional-order modeling approach. This study proposes a model to analyze and predict general election result trends in India, focusing on the state of West Bengal. To incorporate memory into the model, we consider the Caputo fractional derivative. The model solution's positivity, boundedness, existence, and uniqueness were tested analytically. Numerical simulations were carried out to investigate the impact of the parameters and evaluate the model's performance by incorporating the implications of the previous election for realistic situations. Following this, a qualitative analysis of the performance of political parties is discussed, and a prediction of the electoral victory is obtained.

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Section: Fractional Order Applications In Multi-disciplinary Fieldsmentioning

confidence: 99%