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Websci'14 Call for Data Visualization Challenge
We are delighted to announce the Web Science 2014 Visualization Challenge!
The Web has generated huge amounts of data at massive scale, but making
sense of these datasets and representing them in a compact and
easily-interpretable way remains very difficult. The goal of this challenge
is to encourage innovative visualizations of Web data. We particularly
encourage entries that reflect the interdisciplinary spirit of the Web
Science conference. To enable this visualization, we have prepared several
large-scale, easy-to-use, publicly-available datasets:
1. Web traffic data, including more than 200 million HTTP requests from
browsers to servers;
2. Twitter data, including a sample of more than 22
3. Social bookmarking data, consisting of about 430,000 bookmarked pages;
4. Co-authorship of academic papers, consisting of about 21.5 million
papers and 10.8 million authors
Complete details on these datasets are available here:
http://cnets.indiana.edu/groups/nan/webtraffic/websci14-data. All of the
datasets are stored in simple file formats, so that they can be easily used
without much technical expertise.
We are pleased to offer a cash prize of at least $1000 to be split among
the winning entries. Winners will be announced and displayed at the
Web Science conference in June 2014, presented on the Web Science website
(http://websci14.org), and the winners will be encouraged to present a
poster at the conference describing their work. The entries will be judged
based on four criteria: (1) innovative use of data, (2) clarity of
visualization, (3) quality of design, and (4) potential impact.
1. For fairness, the visualization must be primarily based on the
data that we provide. Other datasets may be used to augment ours, but these
datasets must be publicly-available and described in detail in the
documentation (see #4 below).
2. The visualization must be a static image, and must be submitted as a
PDF. In addition to the main PDF, please submit a PNG version at a
resolution of about 640x480, for display on Web pages, social media sites,
mobile devices, etc. This PNG version need not contain the full
visualization, but should be an appropriate representation (e.g. a subset
of the full PDF).
3. Please include a separate PDF file containing a description of the
visualization, including: (1) name(s), affiliation(s), and contact
information of the creator(s), (2) the purpose of the visualization, (3)
which dataset(s) were used, (4) a brief description of how the
visualizations was created, and (5) any other information you would like to
share with the judges.
4. By submitting your visualization, you agree to allow us to display your
visualization at the conference and on the Web Science website and social
media channels. (We will give proper attribution, of course.) You also
certify that you are the copyright holder of the visualization and are
authorized to give us this permission.
5. Entries are due by 11:59PM Hawaii time on April 15, 2014. Please e-mail
your entry to David Crandall <[log in to unmask]>. (If you do not receive a
confirmation email within 24 hours, your entry has not been received and
should be re-sent.)
Panel of judges
* Yong-Yeol Ahn, Indiana University
* Katy Borner, Indiana
* University Mark Meiss,
* Google Dimitar Nikolov, Indiana University
* Maximilian Schich, University of Texas
For questions, please contact David Crandall <[log in to unmask]>.
For more information about the 2014 Web Science Conference, please see
Giovanni Luca Ciampaglia
Center for Complex Networks and Systems Research
✎ 910 E 10th St ∙ Bloomington ∙ IN 47408
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