Survey and Analysis of Citizen Network Political Participation Based on Binary Search Tree Algorithm

ICST Transactions on Scalable Information Systems Pub Date : 2024-02-20 DOI:10.4108/eetsis.4922

Haixia Li

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Abstract

NTRODUCTION: In the digital age, citizens' online political engagement is crucial for the development and stability of society.OBJECTIVES: To gain insights into and address the challenges facing political engagement today, where effectively assessing and promoting citizen participation in the context of the information explosion and the popularization of social media has become a pressing issue.METHODS: Using the binomial search tree algorithm, which was introduced to analyze and predict citizens' political behaviors in the online environment, able to dig deeper into citizens' concerns, opinions, and interaction patterns on political topics by collecting large-scale online data and applying it to the binomial search tree algorithm.RESULTS: The binary search tree algorithm is able to efficiently and accurately reveal the complex features of citizens' online political engagement.CONCLUSION: The binomial search tree algorithm is more advantageous than traditional methods, providing deeper insights for government policymakers and social scientists, and this study is essential for advancing the understanding and enhancement of citizens' online political engagement.

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基于二叉搜索树算法的公民网络政治参与调查与分析

引言：在数字时代，公民的在线政治参与对社会的发展和稳定至关重要：方法：使用二叉搜索树算法，该算法是为了分析和预测公民在网络环境中的政治行为而引入的，通过收集大规模在线数据并将其应用于二叉搜索树算法，能够深入挖掘公民对政治话题的关注、观点和互动模式。结果：二叉搜索树算法能够高效、准确地揭示公民网络政治参与的复杂特征。结论：与传统方法相比，二叉搜索树算法更具优势，能够为政府决策者和社会科学家提供更深入的见解，这项研究对于促进理解和提高公民的网络政治参与度至关重要。

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ICST Transactions on Scalable Information Systems

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