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Guodong Cong

Researcher at Zhejiang Gongshang University

Publications -  26
Citations -  890

Guodong Cong is an academic researcher from Zhejiang Gongshang University. The author has contributed to research in topics: Public opinion & Computer science. The author has an hindex of 10, co-authored 20 publications receiving 376 citations.

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Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic

TL;DR: This paper uses a questionnaire survey and web crawler to collect experience data of online and offline users, constructs a customer satisfaction index system by analyzing emotion and the existing literature for quantitative analysis, and builds aback propagation (BP) neural network model to forecast user satisfaction.
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The Impact of the COVID-19 Pandemic on User Experience with Online Education Platforms in China

TL;DR: This paper constructs a reasonable evaluation index system, adopts the comprehensive evaluation method to analyze user experience before and after the outbreak of COVID-19, and finds out the change of users’ concerns regarding the online education platform.
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Modeling of the Public Opinion Polarization Process with the Considerations of Individual Heterogeneity and Dynamic Conformity

TL;DR: A public opinion polarization model with the considerations of individual heterogeneity and dynamic conformity is established and the dynamic changing function of an individual's conformity tendency to other’s attitudes in the interaction process is introduced.
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Evolutionary Game of Multi-Subjects in Live Streaming and Governance Strategies Based on Social Preference Theory during the COVID-19 Pandemic

TL;DR: Wang et al. as mentioned in this paper used topic clustering and subject extraction methods to dig out the problems and related multiple subjects in live streaming at first, and the theory of social preference was introduced to construct an evolutionary game model among multiple subjects, and how to guide the behavioral decision-making of multiple subjects to standardize and rationalize, so as to control the problem of live streaming.
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Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability.

TL;DR: This paper builds an emergency logistics network based on complex network theory and combines the improved epidemic model to analyze the influencing factors of risk propagation in theEmergency logistics network and identifies key factors for risk control and proposes countermeasures to further spread risks, thereby reducing the risk to loss of economic life.