We aim to visualize the diffusion of the topic among the users, with respect to the time.
Geo-based View Semantic-based View Link-based View
The color of an area is determined by the posts in that area
The diffusion along the geo-dimensions can be visaulized in this way
Local topics, like games, the weather
Show the distinction of different regions' interest of the same topic, like 春晚
Use topic models: Given a user’s weibo, we can calculate related topics and similarity matrix.
Use MDS(Multi-Dimensional Scaling)to put these points on the view according their similarity matrix.
Implemented using Java-R interface(JRI), take the advantage of R to compute the similarity matrix.
Combination of visualization, machine learning and natural language processing.
The following linkage is the natural linkage of the Weibo community
Top: Graph Chart, one of the three views
Below: a line chart of the repost counts against time. Linked to the previous chart.
Side bar: statistics charts about the related topic
Dataset scale: The API quota is the bottle neck