Event sensing and vein presentation leveraging microblogging

Event sensing aThe event sensing and vein presenting problem with the data from Twitter was investigated to extract real-life events and the development of the event and finally present a comprehensive event vein. Microblogging process was made up of two main modules, including event sensing and event presentation. The event sensing module processed raw microblogs, filtered redundant information and extracted the ones associated with the event. The event presentation module presented the event vein based on the relationship between microblogs. Next, an effective approach based on the graph structure was proposed to transform the relationship between microblogs to the relationship between nodes, each of which in the graph represented a microblog. Key nodes was identified in the graph, and then linked with edges. Finally, the event vein that ensured both temporal and content coherence was generated. Results of experiments over a real dataset collected from Twitter show that our approach to generate the event vein is effective and also can reflect the diversity of events.