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I am looking for social network datasets (twitter, friendfeed, facebook, lastfm, etc.) for classification tasks, preferably in arff format.

My searches via UCI and Google weren't successful so far... any suggestions?

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10 Answers 10

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6
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Check out the Stanford large network dataset collection: SNAP.

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A large index of facebook pages was created and is available as a torrent (It is ~2.8Gb) http://btjunkie.org/torrent/Facebook-directory-personal-details-for-100-million-users/3979e54c73099d291605e7579b90838c2cd86a8e9575

Twitter datasets are tagged on Infochimps: http://infochimps.com/tags/twitter

A lastfm dataset is available at http://mtg.upf.edu/node/1671

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visit the Max Planck institute. They have also collected several datasets for OSNs.

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Just found this: 476 million Twitter tweets (via @yarapavan).

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We have curated a Twitter dataset for friends of users in 2009 and then in 2009. You can find more information here: http://strict.dista.uninsubria.it/?p=364

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Check out kaggle.com , they have some contests about social networks and they give out datasets.

Also, Stanford's SNAP is a great resource. And it has research works to boot.

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Facebook social graph, application installations and Last.fm users, events, groups at http://odysseas.calit2.uci.edu/research/

Two datasets (collected April-May 2009) which contain representative samples of ~1 million users Facebook-wide, with a few annotated properties: for each sampled user, the friend list, privacy settings, and network membership are included. A third dataset ( collected Feb 2008) includes a bipartite graph that represents application installations by Facebook users. A fourth dataset with Daily Active Users and application installations over 6 months (collected Sept 2007-Feb 2008). A fifth dataset that includes a representative sample of Last.fm users obtained using multigraph sampling (collected July 2010).

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A good resource for finding datasets is:

/r/datasets on Reddit.

A quick glance at that page reveals this source, which might contain something useful for you.

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This paper uses a facebook dataset that is available here. Here is the description from the authors:

The data includes the complete set of nodes and links (and some demographic information) from 100 US colleges and universities from a single-time snapshot in September 2005.

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