The Wisdom in Tweetonomies: Acquiring Latent Conceptual Structures from Social Awareness Streams

author: Claudia Wagner, GESIS - Leibniz Institute for the Social Sciences
published: May 17, 2010,   recorded: April 2010,   views: 798
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

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 of messages in social awareness streams, such as Twitter, conveys meaningful information about a given domain. As a research community, we know little about the structural and semantic properties of such streams, and how they can be analyzed, characterized and used. This paper introduces a network-theoretic model of social awareness stream, a so-called "tweetonomy", together with a set of stream-based measures that allow researchers to systematically defi ne and compare diff erent stream aggregations. We apply the model and measures to a dataset acquired from Twitter to study emerging semantics in selected streams. The network-theoretic model and the corresponding measures introduced in this paper are relevant for researchers interested in information retrieval and ontology learning from social awareness streams. Our empirical fi ndings demonstrate that di fferent social awareness stream aggregations exhibit interesting differences, making them amenable for different applications.

See Also:

Download slides icon Download slides: www2010_wagner_twt_01.pdf (830.8 KB)

Download slides icon Download slides: www2010_wagner_twt_01.ppt (1.1 MB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: