=Paper=
{{Paper
|id=None
|storemode=property
|title=Information Theoretic Tools for Social Media
|pdfUrl=https://ceur-ws.org/Vol-838/keynote_abstract.pdf
|volume=Vol-838
|dblpUrl=https://dblp.org/rec/conf/msm/Steeg12
}}
==Information Theoretic Tools for Social Media==
<pdf width="1500px">https://ceur-ws.org/Vol-838/keynote_abstract.pdf</pdf>
<pre>
                   Information Theoretic Tools for Social Media

                                                         Greg Ver Steeg
                                                 Information Sciences Institute
                                              The University of Southern California
                                                        California, USA
                                                         gregv@isi.edu


    Abstract
    Information theory provides a powerful set of tools for dis-
    covering relationships among variables with minimal assump-
    tions. Social media platforms provide a rich source of in-
    formation than can include temporal, spatial, textual, and
    network information. What are the interesting information
    theoretic measures for social media and how can we estimate
    these quantities? I will discuss how measures like informa-
    tion transfer can be used to quantify how predictive some
    variables are, e.g., how well one user’s activity can predict
    another’s. I will also discuss techniques for estimating en-
    tropies even when the data are sparse, as is the case for
    spatio-temporal events, or very high-dimensional, as is the
    case for textual information.




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· #MSM2012 · 2nd Workshop on Making Sense of Microposts ·

</pre>