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| Evolution Model and Empirical Research of Group Opinion in Knowledge Collaboration on Open Interactive Platform |
| YUE Fang1, ZHANG Han1, FAN Maorui1, DAI Wenhui1, GUO Jianfeng2
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1. Business School, Guilin University of Electronic Technology, Guilin 541004, China;
2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract The spontaneously formed network in the knowledge collaboration of open interaction platforms is extremely complex and large-scale. Therefore, a stochastic process model is proposed to simulate the evolution process of group opinions. The method of network decomposition and spectral clustering algorithm are used to decompose the network into subgroups of different levels. For different types of rule networks, the transition probability matrix and its recurrence formula are given to realize the extension of similar structures. Then, the evolution process of opinions in groups with different structures is simulated while keeping the proportion of opinions unchanged. Finally, an opinion diversity index is proposed to examine the “echo chamber effect”, which considers the influence of adjacent nodes’ opinions. Simulation and empirical results show that the distribution of opinions among adjacent nodes can influence individual preferences, leading to local polarization phenomena, which verifies the effectiveness of the model and index. This model and index help to explain the evolution mechanism of opinions in complex networks, and lay a foundation to improve the quality of knowledge service.
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Received: 07 February 2024
Published: 19 May 2026
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