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Wikipedia and Prediction of Power, Money, and Fame

Quantifying Success, ECCS13 satellite meeting, Barcelona, Spain.
by

Taha Yasseri

on 19 February 2014

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Transcript of Wikipedia and Prediction of Power, Money, and Fame

Taha Yasseri
Oxford Internet Institute
University of Oxford

Our Daily lives leave traces in the digital world
Wikipedia and Prediction of
Power, Money, and Fame

Editorial Activity

Page view
312 movies, US Market. 2010
Page views

Edits
Unique Editors
Rigor

Number of Theaters
Inputs:
to Predict:
First weekend box office revenue
Pearson correlation
box office revenue with different predictors
Creation time Revenue ($) Number of Theaters
Page View
Unique Editor
multivariate linear regression model
Asur S, Huberman BA (2010)
Predicting the future with social media.
30 days before release
Coefficient of Determination
Much earlier
Larger sample
No content analysis
vs
`
Iranian Presidential Election (June 2013)
Polls:
Wikipedia
German Federal Election
Anna Samoilenko
4 x 100 random living scientists
Citation indexes and Wikipedia coverage
Correlations?
Citations per paper
Page views
h-index
Number of edits
size of dots: number of editors
Anna Samoilenko
Or
an alternative measure
of scientific success?

Thank You!
http://www.oii.ox.ac.uk/people/yasseri/
TahaYasseri
2 days before election
IMDb
Selfe report?
Full transcript