运筹与管理 ›› 2025, Vol. 34 ›› Issue (11): 180-186.DOI: 10.12005/orms.2025.0360

• 应用研究 • 上一篇    下一篇

生态系统视角下民众诉求与政府回应的共生机理研究——以人民网为例

秦瑞青1, 张鹏1,2, 刘静3, 赵晨阳1, 覃曦1   

  1. 1.中国人民警察大学 网络舆情治理研究中心,河北 廊坊 065000;
    2.河北省智慧警务信息支援技术重点实验室,河北 廊坊 065000;
    3.北华航天工业学院 文理学院,河北 廊坊 065000
  • 收稿日期:2023-08-12 出版日期:2025-11-25 发布日期:2026-03-30
  • 通讯作者: 张鹏(1981-),男,内蒙古包头人,博士,副教授,硕士生导师,研究方向:智能传播。Email: zhangpeng@cppu.edu.cn。
  • 作者简介:秦瑞青(1999-),女,河南安阳人,硕士研究生,研究方向:网络安全。
  • 基金资助:
    教育部人文社会科学研究规划基金项目(22YJAZH119);河北省高等学校青年拔尖人才计划项目(BJ2025339)

Research on Symbiotic Mechanism of Public Demand and GovernmentResponse from Perspective of Ecosystem:Taking People’s Network as Example

QIN Ruiqing1, ZHANG Peng1,2, LIU Jing3, ZHAO Chenyang1, QIN Xi1   

  1. 1. Network Public Opinion Research Center, People’s Police University of China, Langfang 065000, China;
    2. Hebei Key Laboratory of Information Support Technology for Smart Policing, Langfang 065000, China;
    3. School of Liberal Arts and Sciences, North China Institute of Aerospace Engineering, Langfang 065000, China
  • Received:2023-08-12 Online:2025-11-25 Published:2026-03-30

摘要: 人民网等政务新媒体是党和政府联系服务群众的重要渠道,其实施效果是政府社会治理能力与执政为民理念的体现,如何营造协同发展、循环演进的良性生态系统至关重要。为此,本文在研究民众诉求与政府回应之间生态系统组成与结构的基础上,运用生物种群共生理论和Lotka-Volterra模型构建两者间的共生模型,并爬取人民网领导留言板上的网民留言和政府回应数据进行实证分析,挖掘人民网上政府回应与网民诉求间共生模式的发展现状和协同演进趋势,预测未来其达到均衡状态所需时间。实证表明,人民网上民众诉求与政府回应间存在共生演化关系,并且于2022年开始从非对称互惠共生模式转向互惠共生模式,二者将进一步达到协调同步和螺旋上升状态。

关键词: 信息生态系统, 协同共生, 网络问政, 政务新媒体

Abstract: With the update and development of the Internet era, the interaction between the people and the government has been updated from the traditional way of interaction to the way that depends partly on the Internet. The people are more and more inclined to express their opinions and respond to problems through the Internet. In this trend, if the government fails to respond and solve the problems raised by the people on the Internet in a timely manner, the people’s trust in the government will be ruined. The People’s Daily Online message board for local leaders is a public space connecting the country to society in the digital age, and its original intention is to enhance people’s trust in the government and support for it through a two-way interactive mechanism. However, the problem of insufficient responsiveness arises, actually. New government media such as People’s Daily Online is an important channel for the Party and the government to contact and serve the people, and its implementation effect is the embodiment of the government’s social governance ability and the concept of governing for the people. Therefore, how to create a benign ecosystem of coordinated development and circular evolution is crucial.
   The Lotka-Volterra model is one of the most well-known models in ecology and is widely used to describe dynamic equilibria and interactions between the predator and prey. The theoretical basis of the model is to model the change of the number of two key populations in the biome over time. The model is derived from the abstraction of natural selection, resources competition and the relationship between biological populations in the ecosystem, which provides a powerful mathematical framework for the quantitative research of ecology. The two differential equations at the core of the Lotka-Volterra model can give the relationship between the periodic fluctuations of the number of predators and preys caused by the interaction between them.
   In this paper, the ecological Lotka-Volterra model is used to study the dynamic evolution process of the symbiotic relationship between the government and Internet user on the network platform, and the symbiotic model between them is predicted according to the symbiotic degree relationship, as well as the dynamic evolution of the corresponding Internet user’s comments and the government’s replies. In this paper, the data of the epidemic period from 2020 to 2022 are excluded, and the data of the annual number of netizens’ comments and government responses from the leadership message board of People’s Daily Online from 2006 to 2020 are selected as the experimental data of this paper.
   The experimental results show that the symbiotic pattern between the government and Internet user was parasitic between 2006 and 2007, and from 2008, the symbiotic structure between them has begun to change to a mutualistic symbiotic pattern. It is further proposed that the time for the government’s response and netizens’ demands to achieve symmetrical mutualism was 2022, and they can evolve from a similar symmetrical mutualism model to symmetrical mutualism. In the future, the amount of netizens’ comments and government responses in the leadership message boards of People’s Daily Online at different provinces, cities and counties can be collected respectively, and the symbiotic evolution dynamic model constructed in this paper can be applied to compare the evolution trend of symbiotic behaviors in many cities in China, explore the development degree of symbiotic relationships in different cities, and then provide references for optimizing the management and services of different types of new government media.

Key words: information ecosystem, synergistic symbiosis, network political inquiry, new media of government affairs

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