Analysis and research on microblogging network model based on crawler data

Microblogs are very popular large-scale communication social networks nowadays in China. In order to study the characteristics of Sina Microblogs, we collect a large amount of users´ data based on the Sina Microblogs and place them in the database. Using these data, we visualize the Microblogs network model and create a complex network model. We study Sina Microblogs´ network properties through the data of the complex network model, such as nodes, links, degrees clustering coefficient and average distance. Then we analyse the similarity and difference between Sina and Twitter. The visualization of complex network helps users easily identify the central node and the edge area, so that information would be spread more effective and quickly in the shortest possible time through the specified node. So we discuss this method to deal with emergences especially natural disasters.