Antonio De la Torre García

Graph visualization tool for Twittersphere users based on a high-scalable extract, transform and load system

Microblogging is a service emerged from Web 2.0 that allows to publish posts of limited length, generally less than 200 characters in a user profile Web page. Most of these services, like Twitter1, Jaiku2 or Tumblr3 provide the option to subscribe to other users, thereby, each post is sent immediately to those who have chosen the option of receiving them. Twitter is the most widely used microblogging system. In it, users publish updates and interact with other members by forwarding updates or quoting users in their posts by mentions or replies. The last feature makes up a large repository of Web information that includes connections between users by associating each link with a textual content. The application presented in this paper shows how to mine data through a graphical tool that identifies key influencers related to a search, and it organizes the results into a graph structure. Thereby, the final client manages a mechanism for recognizing key opinion makers in a specific subject by visualizing them as interconnected nodes..