ハイパーネットワークに基づく緊急事態の認識の逆転に関する世論調査
1College of Economics and Management, Nanjing Forestry University, Nanjing, People's Republic of China.
Big data
|August 22, 2025
まとめ
この研究は,緊急事態中の世論の変化を追跡するためのハイパーネットワークモデルを導入します. このモデルは,世論の逆転を促す重要な要因を効果的に特定し,危機管理を支援します.
科学分野:
- ソーシャルネットワークの分析
- コンピュータ社会科学
- 世論の動態
背景:
- ソーシャルメディアは 緊急事態に関する情報の拡散と 世論の転換を加速させています
- 緊急事態の際の意見の転換は 社会的安定と政府の信頼に影響します
- ハイパーネットワーク理論は,複雑なマルチエージェントの相互作用を分析するための枠組みを提供します.
研究 の 目的:
- 緊急事態における世論の逆転を特定するための新しい方法を開発する.
- ハイパーネットワークアプローチを用いて世論の動向を分析する.
- 緊急対応と世論モニタリングの実践的な指針を提供すること.
主な方法:
- 4層のサブネットモデルの構築:ユーザーインタラクション,イベントの進化,意味論的関連,感情伝達ネットワーク.
- ネットワークの構造的特徴の抽出と横断層のリンク分析
- 2021年の河南の暴風雨中に起こった洪興・エルケの寄付事件のケーススタディ分析.
主要な成果:
- 提案されたハイパーネットワークモデルは,世論の逆転に影響を与える重要なノードを効果的に特定します.
- 多指標の共同識別システムにより,意見の逆転のシグナルを迅速に検出できます.
- 経験的分析は,実際の世論の動態を捉えるモデルの能力を検証します.
結論:
- ハイパーネットワークモデルは,ダイナミックな世論分析のための強力な方法論的アプローチを提供します.
- 意見の逆転を効果的に特定することで,迅速かつ情報に基づいた緊急意思決定が可能です.
- この研究は,危機における世論の管理のための理論的および実践的な洞察を提供します.
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