Title :
Knowledge discovery in hashtags#
Author :
Mehmood, Rashid ; Maurer, Helmut ; Afzal, Muhammad Tanvir
Author_Institution :
Inst. for Inf. Syst. & Comput. Media, Graz Univ. of Technol., Graz, Austria
Abstract :
Twitter is a breed of social networks that are playing a buoyant role in today\´s world communication. This paper is an attempt to apply knowledge discovery process on Twitter dataset comprising hashtags along with the visual analytic techniques whose purpose is to provide information to the people in such a way so that they understand concealed knowledge in the data effortlessly and meritoriously. We further analyze tweet text and metadata associated with each tweet for identification of useful patterns like "who talks to whom" and "how much". Our research reveals the impact of visualization and hierarchical clustering technique in analyzing similar groups of users. Further we investigate different social network measures that unveil the influence of users in the particular hashtags.
Keywords :
data mining; data visualisation; meta data; pattern clustering; social networking (online); text analysis; Twitter; hashtags#; hierarchical clustering technique; knowledge discovery; metadata analysis; social networks; tweet text analysis; visual analytic techniques; visualization technique; Communities; Data mining; Data visualization; Knowledge discovery; Libraries; Twitter; Data mining; Database; NLP; Social Network Analysis;
Conference_Titel :
Emerging Technologies (ICET), 2013 IEEE 9th International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-3456-0
DOI :
10.1109/ICET.2013.6743538
