基于GIS的突发事件网络舆情传播可视化探究

我国处于社会转型期，对突发事件引起的网络舆情分析需求迫切。微博由于其大数据特点为公众舆论和自然环境知识发现提供大量数据，将其与位置信息联系能给地理分析提供新的发现。通过用户发布的微博消息进行分析挖掘，为公众舆论监督提供帮助，为政府决策提供信息。本文在微博数据帮助下进行了数据挖掘，在空间维度上分析了舆论传播模式，使用可视化与统计方法相结合的方式探究了舆情传播规律。

Research on the visualization of network public opinion of emergence spreading on GIS

There is urgent demand for analysis of network public opinion under the social transformation period in our country. Microblog is being increasingly investigated due to its big data features, it provides large volumes of data for discovery of knowledge about public opinion and physical environment. Once connected with their location, it provides new opportunities for geographical analysis. Analysis and data mining through microblog messages posted by users, it provides information for decision making by governments. With the help of microblog data and Using data mining in this paper, then analysis the public opinion transmission mode in spatial dimension and using geographic location information to visualize the distribution and statistic method combined to explore the propagation laws of network public opinion.