Web Science 2014 Data Challenge

There are 3 datasets in this collection. Each is available as a .tar.gz file containing .json files for each day data was collected for. Each line of the .json files contains a single JSON object. The format of that object is dependent on the dataset. See below for details. The datasets have been prepared by Dimitar Nikolov.

1. Web Traffic

A collection of Web (HTTP) requests for the month of November 2009. This is a small sample of the larger click dataset, documented here. (More on Web Traffic project).

JSON object format:

{
    'timestamp': 123456789, # Unix timestamp
    'from': '...', # the referrer host
    'to': '...', # the target host
    'count': 1234 # the number of request between the referrer and target hosts that occurred within the given hour
}

The data has been aggregated for every hour of the day. Thus, if more than one request occurred from the same referrer host to the same target host between, say, 2pm and 3pm, this is reflected in the ‘count’ field of the JSON object with a timestamp for 2pm, rather than by a different JSON object with a different timestamp.

Dataset statistics:

• Dataset size: 235 mil requests
• File size: 2.7GB uncompressed
• Time period: Nov 1, 2009 – Nov 22, 2009

Data: web-clicks-nov-2009.tgz (321MB)

If you use this dataset in your research, please cite either or both of these papers:

@inproceedings{Meiss08WSDM,
    title = {Ranking Web Sites with Real User Traffic},
    author = {Meiss, M. and Menczer, F. and Fortunato, S. and Flammini, A. and Vespignani, A.},
    booktitle = {Proc. First ACM International Conference on Web Search and Data Mining (WSDM)},
    url = {http://informatics.indiana.edu/fil/Papers/click.pdf},
    pages = {65--75},
    year = 2008
}
@incollection{Meiss2010WAW,
    title = {Modeling Traffic on the Web Graph},
    author = {Meiss, M. and Goncalves, B. and Ramasco, J. and Flammini, A. and Menczer, F.},
    booktitle = {Proc. 7th Workshop on Algorithms and Models for the Web Graph (WAW)},
    series = {Lecture Notes in Computer Science},
    url = {http://informatics.indiana.edu/fil/Papers/abc.pdf},
    pages = {50--61},
    volume = 6516,
    year = 2010
}

2. Twitter

A collection of records extracted from tweets for the month of November 2012 containing both #hashtags and URLs as part of the tweet. (More on Truthy project)

JSON object format:

{
    'timestamp': 123456789, # Unix timestamp
    'user_id': 12345, # an integer uniquely identifying the user who tweeted
    'hashtags': ['...', '...', '...'], # a list of hashtags used in the tweet
    'urls': ['...', '...', '...'] # a list of links used in the tweet
}

Dataset statistics:

• Dataset size: 22.5 mil tweets
• File size: 2.5GB uncompressed
• Time Period: Nov 1, 2012 – Nov 30, 2012

Data: tweets-nov-2012.tgz (707MB)

If you use this dataset in your research, please cite either or both of these papers:

@inproceedings{McKelvey:2013:DPS:2487788.2488174,
    author = {McKelvey, Karissa and Menczer, Filippo},
    title = {Design and prototyping of a social media observatory},
    booktitle = {Proceedings of the 22nd international conference on World Wide Web companion},
    series = {WWW '13 Companion},
    pages = {1351--1358},
    url = {http://dl.acm.org/citation.cfm?id=2487788.2488174},
    year = 2013
}
@inproceedings{McKelvey2013cscw,
    Author = {Karissa McKelvey and Filippo Menczer},
    Title = {{Truthy: Enabling the Study of Online Social Networks}},
    Booktitle = {Proc. 16th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW)},
    Url = {http://arxiv.org/abs/1212.4565},
    Year = 2013
}

3. Social Bookmarking

A collection of bookmarks from GiveALink.org for the month of November 2009. (More on GiveALink project)

JSON object format:

{
    'timestamp': 123456789, # Unix timestamp for when the URL was posted
    'url': '...', # the URL that was bookmarked
    'hashtags': ['...', '...', '...'] # a set of tags attached to the URL by the (anonymous) user
}

Dataset statistics:

• Dataset size: 61,665 posts (approximately 430,000 triples)
• File size: 12MB uncompressed
• Time period: Nov 1, 2009 – Nov 30, 2009

Data: givealink-nov-2009.tgz (2MB)

If you use this dataset in your research, please cite either or both of these papers:

@inproceedings{Markines06GAL,
    author = {Markines, B. and Stoilova, L. and Menczer, F.},
    title = {Bookmark hierarchies and collaborative recommendation},
    booktitle = {Proc. 21st National Conference on Artificial Intelligence (AAAI-06)},
    pages = {1375--1380},
    publisher = {AAAI Press},
    url = {http://www.aaai.org/Papers/AAAI/2006/AAAI06-216.pdf},
    year = 2006
}
@inproceedings{Stoilova05GAL,
    Author = {Stoilova, Lubomira and Holloway, Todd and Markines, Ben and Maguitman, Ana G. and Menczer, Filippo},
    Title = {GiveALink: Mining a Semantic Network of Bookmarks for Web Search and Recommendation},
    Booktitle = {Proc. KDD Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD)},
    Url = {http://informatics.indiana.edu/fil/Papers/givealink-linkkdd.pdf},
    Year = 2005
}