The wisdom in tweetonomies

摘要: Although one might argue that little wisdom can be conveyed in messages of 140 characters or less, this paper sets out to explore whether the aggregation social awareness streams, such as Twitter, conveys meaningful information about a given domain. As research community, we know structural and semantic properties how they analyzed, characterized used. This introduces network-theoretic model stream, so-called "tweetonomy", together with set stream-based measures allow researchers systematically define compare different stream aggregations. We apply dataset acquired from Twitter study emerging semantics selected streams. The corresponding introduced are relevant for interested retrieval ontology learning Our empirical findings demonstrate aggregations exhibit interesting differences, making them amenable applications.