基于复杂网络的食品安全事件新闻文本可视化及分析

The Visualization and Analysis of News Texts about Food Safety Incidents Based on Complex Networks

为了从海量的新闻信息中快速直观地了解食品安全事件及发展过程,本文采用复杂网络理论,以上海福喜事件为实证对象,构建了食品安全事件信息实体关联网络,并对网络的拓扑特征进行了分析。研究发现,食品安全事件的关注点具有集聚性,新闻报道的关注点对于事件的发展具有关键作用,事件的关注点和和关注度随时间的变化而变化。研究结果表明利用复杂网络理论能够对非结构化的文本信息进行有效的分析,挖掘出食品安全事件的关键信息,揭露事件的发展特点,从而为管理决策提供参考依据。

In order to know the process of food safety incidents quickly and intuitively from the mass of news, taking the news texts of Shanghai OSI Incident as an example, this paper built a food safety incident information entity correlation network using the complex net- work theory and analyzed the topological characteristics of the network. It is found that the news of food safety incidents have the feature of focusing on some points. These concerns in news reports play a key role in the development of the whole incident. Furthermore, the concerns and attention-degree change over time. The results of the research show that the complex network theory is a useful tool for ana- lyzing the unstructured texts, mining the key points of food safety incidents and uncovering their development characteristics and thus it is very applicable for management decision-making.