Extract Knowledge from Social Networks
Hariton Efstathiades · Research Repository (Delft University of Technology) · 2014
The easy access to Online Social media platforms through a variety of pow-erful devices gives to different categories of people the ability of interaction with them. With the increasing popularity of Online Social Networks new opportuni-ties arise for the researchers. Given the enormous volume and variety of infor-mation that is being transfered among the users, the collection and analysis of these data could provide useful results for different research areas; from social science and transportation to education and economics. Online Social Networks became a rich resource of information that can be used for knowledge extraction in benefit for the side who is using it. The knowledge extraction using data retrieved from Online Social Networks is mainly done through a manual-programming procedure with the use of Ap-plication Programming Interfaces. However, the majority of social science re-searchers has usually low programming experience. Thus, the procedure from data retrieval to knowledge extraction is not a trivial task for them. With this