Abstract
Twitter represents a large complex network of users with diverse and continuously evolving interests. Discussions and interactions range from very small to very large groups of people and most of them occur in the public. Interests are both long and short term and are expressed by the content generated by the users as well as via the Twitter follow graph, i.e. who is following whose content.
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© 2012 Springer-Verlag Berlin Heidelberg
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Kołcz, A. (2012). Large Scale Learning at Twitter. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds) The Semantic Web: Research and Applications. ESWC 2012. Lecture Notes in Computer Science, vol 7295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30284-8_4
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DOI: https://doi.org/10.1007/978-3-642-30284-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30283-1
Online ISBN: 978-3-642-30284-8
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