【目的】探索突發事件情境下用戶交互行為的規律。【方法】構建基于發帖和回帖的有向賦值矩陣(交互網絡),展現交互網絡的整體網絡結構圖,對交互網絡進行小世界分析,對中心性指標、結構洞指標與用戶交互行為分別進行相關分析。【結果】整體網絡結構表現出小世界效應,特征向量中心性與發帖行為之間具有較大的正相關,點度中心性與回帖行為之間具有較大的正相關,結構洞與回帖行為之間具有較大的正相關。【局限】數據類型比較單一。【結論】本研究成果為推動在線健康社區的健康和可持續發展提供了參考和指導。

[Objective] This study explores the interactive behaviors of online health community users in emergency. [Methods] Firstly, we constructed a directed matrix based on the posts and replies and illustrated the structure of this interactive network. Then, we conducted a small-world, and correlation analysis for the centrality index, structural hole index and user interactive behaviors respectively. [Results] The whole network had a small-world effect. The eigenvector centrality had significant positive correlation with the number of posts and the degree centrality had significant positive correlation with the number of replies. Meanwhile, structural holes had significant positive correlations with the number of replies. [Limitations] The data types were not diversified. [Conclusions] This study provides useful references and guidelines for the development of online health communities.