Expert Scoring Data for System Dynamics Model of Emergency Event Public Opinion

Zhenghui Wang's anonymized dataset supports the PLOS ONE article "Research on Network Public Opinion Dissemination Mechanism of Emergency Events Based on System Dynamics." It contains raw expert scoring results used to calculate variable coefficients for the system dynamics model. The dataset is 22.8 KB in size and was last updated on May 11, 2026.

Use Cases

• Calibrating system dynamics models based on expert-provided variable coefficients.
• Analyzing the relationship between variables like Rumor Spread Rate and Internet Sentiment Intensity.
• Studying the dynamics of public opinion formation during emergency events.
• Validating simulation models of online rumor propagation and government response.

Strengths

• Data is explicitly anonymized with PII removed and ethics approval obtained.
• Specific variables are named, including Rumor Decay Rate and Sentiment Polarization Index.
• Dataset is directly linked to a submitted academic article, providing research context.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 22.8 KB, indicating limited scope.

Provenance

Source

Zhenghui Wang via figshare.

Collection Method

Expert scoring results collected for research purposes.

Freshness

Last updated 2026-05-11 16:07:02; freshness should be verified.