Quantifying Influence: Insights into Data Science Applications in Comparative Politics

This study systematically investigates the integration and impact of data science methodologies within the domain of comparative politics. By conducting a comprehensive analysis of academic publications, this research delineates key trends, identifies seminal works, and elucidates emerging themes that underscore the transformative role of data science in comparative political analysis. Employing sophisticated data analytics and visualization techniques, we meticulously map the scholarly landscape to uncover patterns in research output, collaboration networks, and methodological advancements. Our findings substantiate the increasing prominence of data-driven approaches in addressing intricate political phenomena and provide an exhaustive overview of the contributions and challenges associated with the application of data science in comparative politics. This study furnishes critical insights for researchers, policymakers, and practitioners striving to leverage the potential of data science in the realm of political science research."

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911544
Citations
2
Primary Topic
Electoral Systems and Political Participation
Type
article
Field-Weighted Citation Impact
4.46
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article

Quantifying Influence: Insights into Data Science Applications in Comparative Politics

Preeti Malik, Vikash Garg
2 citations
Electoral Systems and Political Participation
4.46
article

Quantifying Influence: Insights into Data Science Applications in Comparative Politics

Preeti Malik, Vikash Garg
article en
2 citations

Abstract

This study systematically investigates the integration and impact of data science methodologies within the domain of comparative politics. By conducting a comprehensive analysis of academic publications, this research delineates key trends, identifies seminal works, and elucidates emerging themes that underscore the transformative role of data science in comparative political analysis. Employing sophisticated data analytics and visualization techniques, we meticulously map the scholarly landscape to uncover patterns in research output, collaboration networks, and methodological advancements. Our findings substantiate the increasing prominence of data-driven approaches in addressing intricate political phenomena and provide an exhaustive overview of the contributions and challenges associated with the application of data science in comparative politics. This study furnishes critical insights for researchers, policymakers, and practitioners striving to leverage the potential of data science in the realm of political science research."

Chandigarh University (IN), Hans Raj Mahila Maha Vidyalaya (IN)
Openalex Percentile: Top 4%
Electoral Systems and Political Participation
4.46
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