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Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation

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Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation. / Sianipar, Corinthias Pamatang Morgana; Utomo, Dhanan; Nuraeni, Shimaditya et al.
In: Procedia Social and Behavioral Sciences, Vol. 65, 03.12.2012, p. 64-69.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Sianipar, CPM, Utomo, D, Nuraeni, S, Sunitiyoso, Y & Putro, US 2012, 'Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation', Procedia Social and Behavioral Sciences, vol. 65, pp. 64-69. https://doi.org/10.1016/j.sbspro.2012.11.092

APA

Sianipar, C. P. M., Utomo, D., Nuraeni, S., Sunitiyoso, Y., & Putro, U. S. (2012). Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation. Procedia Social and Behavioral Sciences, 65, 64-69. https://doi.org/10.1016/j.sbspro.2012.11.092

Vancouver

Sianipar CPM, Utomo D, Nuraeni S, Sunitiyoso Y, Putro US. Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation. Procedia Social and Behavioral Sciences. 2012 Dec 3;65:64-69. doi: 10.1016/j.sbspro.2012.11.092

Author

Sianipar, Corinthias Pamatang Morgana ; Utomo, Dhanan ; Nuraeni, Shimaditya et al. / Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation. In: Procedia Social and Behavioral Sciences. 2012 ; Vol. 65. pp. 64-69.

Bibtex

@article{8766688664a44b51a9a24e0c8661dbbe,
title = "Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation",
abstract = "Election is the ultimate event in which people express themselves to get the most appropriate leader based on majority interest. Among the campaign period, the interactions between swing voters make the election{\textquoteright}s result unpredictable. This paper aims to measure the dynamic behavior among swing voters which is affected by the influence from people around the individual, the electability level of a candidate, and the loyalty threshold of a candidate{\textquoteright}s voters. The purpose of this paper is to provide a simulation that accommodates all changes in continuous time, so the election result can be predicted dynamically. The influence factors and several additional settings will be analyzed carefully to provide a comprehensive simulation. Furthermore, the proposed setting will be used to test two hypotheses which are commonly known among election analysts. Moreover, the result will give a dynamic simulation which brings a new approach to understand the impact of applied campaign strategy. In other hand, this study also throws brighter understanding to the dynamic behavior of voters and gives feedback for campaign teams to develop a better strategy for increasing their candidates{\textquoteright} competitiveness.",
keywords = "agent-based modelling, Agent-based simulation, Voting, Elections",
author = "Sianipar, {Corinthias Pamatang Morgana} and Dhanan Utomo and Shimaditya Nuraeni and Yos Sunitiyoso and Putro, {Utomo Sarjono}",
note = "Under a Creative Commons license",
year = "2012",
month = dec,
day = "3",
doi = "10.1016/j.sbspro.2012.11.092",
language = "English",
volume = "65",
pages = "64--69",
journal = "Procedia Social and Behavioral Sciences",
issn = "1877-0428",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Understanding dynamic behavior of swing voters during election campaign period using agent-based simulation

AU - Sianipar, Corinthias Pamatang Morgana

AU - Utomo, Dhanan

AU - Nuraeni, Shimaditya

AU - Sunitiyoso, Yos

AU - Putro, Utomo Sarjono

N1 - Under a Creative Commons license

PY - 2012/12/3

Y1 - 2012/12/3

N2 - Election is the ultimate event in which people express themselves to get the most appropriate leader based on majority interest. Among the campaign period, the interactions between swing voters make the election’s result unpredictable. This paper aims to measure the dynamic behavior among swing voters which is affected by the influence from people around the individual, the electability level of a candidate, and the loyalty threshold of a candidate’s voters. The purpose of this paper is to provide a simulation that accommodates all changes in continuous time, so the election result can be predicted dynamically. The influence factors and several additional settings will be analyzed carefully to provide a comprehensive simulation. Furthermore, the proposed setting will be used to test two hypotheses which are commonly known among election analysts. Moreover, the result will give a dynamic simulation which brings a new approach to understand the impact of applied campaign strategy. In other hand, this study also throws brighter understanding to the dynamic behavior of voters and gives feedback for campaign teams to develop a better strategy for increasing their candidates’ competitiveness.

AB - Election is the ultimate event in which people express themselves to get the most appropriate leader based on majority interest. Among the campaign period, the interactions between swing voters make the election’s result unpredictable. This paper aims to measure the dynamic behavior among swing voters which is affected by the influence from people around the individual, the electability level of a candidate, and the loyalty threshold of a candidate’s voters. The purpose of this paper is to provide a simulation that accommodates all changes in continuous time, so the election result can be predicted dynamically. The influence factors and several additional settings will be analyzed carefully to provide a comprehensive simulation. Furthermore, the proposed setting will be used to test two hypotheses which are commonly known among election analysts. Moreover, the result will give a dynamic simulation which brings a new approach to understand the impact of applied campaign strategy. In other hand, this study also throws brighter understanding to the dynamic behavior of voters and gives feedback for campaign teams to develop a better strategy for increasing their candidates’ competitiveness.

KW - agent-based modelling

KW - Agent-based simulation

KW - Voting

KW - Elections

U2 - 10.1016/j.sbspro.2012.11.092

DO - 10.1016/j.sbspro.2012.11.092

M3 - Journal article

VL - 65

SP - 64

EP - 69

JO - Procedia Social and Behavioral Sciences

JF - Procedia Social and Behavioral Sciences

SN - 1877-0428

ER -