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reddit_hyperlinks — Reddit subreddit hyperlinks (2014-2017)

Description

Hyperlinks between communities (subreddits) of the discussion website Reddit, extracted by S. Kumar, W. L. Hamilton, J. Leskovec and D. Jurafsky from publicly available Reddit data of January 2014 to April 2017, to study conflicts between communities. Nodes are subreddits, and a directed edge $i \to j$ is a post in subreddit $i$ that contains a hyperlink to a post in subreddit $j$. Each hyperlink is labeled with the sentiment of the source post towards the target post, as positive (or neutral) or negative, which the authors obtained with a text classifier trained on manually labeled examples. A hyperlink can appear in the title or in the body of the post; upstream, these are two separate files, combined here into a single multigraph (a post that links to several subreddits gives several edges). The SNAP page gives 55,863 nodes and 858,490 edges, but the two files contain 858,488 hyperlinks (from 831,014 distinct posts) among 67,180 subreddits; there are no self-loops.

Each hyperlink also has a vector of 86 numeric properties of the text of the source post (e.g. numbers of characters and words, fractions of special characters, sentiment scores computed with VADER, and frequencies of LIWC word categories). There are two networks, with the same nodes and edges:

  • hyperlinks: the hyperlinks, without the text properties.
  • hyperlinks_text: the hyperlinks with the text properties, which make its files much larger.

The subreddit embeddings, also provided by the authors, are not included.

The networks have the following properties:

  • name: the name of the subreddit.
  • Edge post_id: the identifier of the source post.
  • Edge time: the time of the post, as Unix time. The time zone of the upstream timestamps is not documented; they are read as US Pacific time, since they then span exactly the period stated by the authors (read as UTC, the first ones would fall on December 31, 2013, from 16:20 on, and the last one on April 30, 2017, at 16:58).
  • Edge sign: the sentiment of the source post towards the target post (+1 for positive or neutral, -1 for negative).
  • Edge in_title: whether the hyperlink is in the title of the post (otherwise it is in its body).
  • Edge text_properties (hyperlinks_text only): the 86 properties of the text of the source post, in the order given by the graph property text_property_names (as listed by the source, with "unique works" corrected to "unique words").
Tags
Social Online Communication Signed Multigraph Timestamps
Citation
  • S. Kumar, W. L. Hamilton, J. Leskovec, and D. Jurafsky, "Community Interaction and Conflict on the Web." Proceedings of the 2018 World Wide Web Conference (WWW), 933-943 (2018). 10.1145/3178876.3186141 Sci-Hub
Upstream URL OK
https://snap.stanford.edu/data/soc-RedditHyperlinks.html
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.