Print Email Facebook Twitter Extract Knowledge from Social Networks Title Extract Knowledge from Social Networks Author Efstathiades, H.A. Contributor Bozzon, A. (mentor) Houben, G.J.P.M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Computer Science Programme Web Information Systems Date 2014-01-10 Abstract The knowledge extraction using data retrieved from Online Social Networks is mainly done through a manual-programming procedure with the use of Application Programming Interfaces. However, the majority of social science researchers has usually low programming experience. Thus, the procedure from data retrieval to knowledge extraction is not a trivial task for them. With this research we aim in the development of a framework that provides the researcher who has low programming experience with the ability of extracting knowledge from information that is mainly available in Online Social Networking platforms. Additionally, we present a case study where we evaluate the existing framework by extracting knowledge for a private organization from a professional social network, contributing new insights to the study of social networks. Subject social networksknowledge extraction To reference this document use: http://resolver.tudelft.nl/uuid:4681f604-ef07-4ac8-86bf-42257e6c96ed Part of collection Student theses Document type master thesis Rights (c) 2014 Efstathiades, H.A. Files PDF Hariton_Efstathiades_Thes ... Report.pdf 1.53 MB Close viewer /islandora/object/uuid:4681f604-ef07-4ac8-86bf-42257e6c96ed/datastream/OBJ/view