4 papers
Race, Religion and the City: Twitter Word Frequency Patterns Reveal Dominant Demographic Dimensions in the United States
Eszter Bokányi, Dániel Kondor, László Dobos +4
Recently, numerous approaches have emerged in the social sciences to exploit the opportunities made possible by the vast amounts of data generated by online social networks (OSNs).…
Regional properties of global communication as reflected in aggregated Twitter data
Zsofia Kallus, Norbert Barankai, Daniel Kondor +7
Twitter is a popular public conversation platform with world-wide audience and diverse forms of connections between users. In this paper we introduce the concept of aggregated regi…
Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages
Dániel Kondor, István Csabai, László Dobos +6
Principal component analysis (PCA) and related techniques have been successfully employed in natural language processing. Text mining applications in the age of the online social m…
A multi-terabyte relational database for geo-tagged social network data
László Dobos, János Szüle, Tamás Bodnár +7
Despite their relatively low sampling factor, the freely available, randomly sampled status streams of Twitter are very useful sources of geographically embedded social network dat…