Social Network: Reddit Hyperlink Network - SNAP: Stanford

Social Network: Reddit Hyperlink Network

Dataset information

The hyperlink network represents the directed connections between two subreddits (a subreddit is a community on Reddit). We also provide subreddit embeddings. The network is extracted from publicly available Reddit data of 2.5 years from Jan 2014 to April 2017.

Subreddit Hyperlink Network: the subreddit-to-subreddit hyperlink network is extracted from the posts that create hyperlinks from one subreddit to another. We say a hyperlink originates from a post in the source community and links to a post in the target community. Each hyperlink is annotated with three properties: the timestamp, the sentiment of the source community post towards the target community post, and the text property vector of the source post. The network is directed, signed, temporal, and attributed.

Note that each post has a title and a body. The hyperlink can be present in either the title of the post or in the body. Therefore, we provide one network file for each.

Subreddit Embeddings: We have also provided embedding vectors representing each subreddit. These can be found in this dataset link: subreddit embedding dataset. Please note that some subreddit embeddings could not be generated, so this file has 51,278 embeddings.

Project website: These files have been generated as part of the research project on how subreddits attack one another. The details of the project can be found here.

Dataset statistics
Number of nodes (subreddits)	55,863
Number of edges (hyperlink between subreddits)	858,490
Edge weights (label of hyperlink)	-1 or +1
Edge attributes	Text property vectors
Timespan	Jan 2014 - April 2017

Source (citation)

• S. Kumar, W.L. Hamilton, J. Leskovec, D. Jurafsky. Community Interaction and Conflict on the Web. World Wide Web Conference, 2018.

The following BibTeX citation can be used: @inproceedings{kumar2018community, title={Community interaction and conflict on the web}, author={Kumar, Srijan and Hamilton, William L and Leskovec, Jure and Jurafsky, Dan}, booktitle={Proceedings of the 2018 World Wide Web Conference on World Wide Web}, pages={933--943}, year={2018}, organization={International World Wide Web Conferences Steering Committee} }

Files

File	Description
soc-redditHyperlinks-body.tsv	Network of subreddit-to-subreddit hyperlinks extracted from hyperlinks in the body of the post.
soc-redditHyperlinks-title.tsv	Network of subreddit-to-subreddit hyperlinks extracted from hyperlinks in the title of the post.

Data format

The data file is in tab separated format. SOURCE_SUBREDDIT tab TARGET_SUBREDDIT tab POST_ID tab TIMESTAMP tab POST_LABEL tab POST_PROPERTIES leagueoflegends teamredditteams 1u4nrps 2013-12-31 16:39:58 1 345.0,298.0,0.75652173913,0.0173913043478,0.0869565217391,0.150724637681,0.0753623188406,57.0,53.0,10.0,4.78947368421,15.0,0.315789473684,1.0,1.0,345.0,57.0,35.5778947368,0.073,0.08,0.1748,0.3448275862068966,0.05172413793103448,0.034482758620689655,0.0,0.034482758620689655,0.0,0.0,0.0,0.017241379310344827,0.05172413793103448,0.10344827586206896,0.05172413793103448,0.0,0.10344827586206896,0.0,0.034482758620689655,0.034482758620689655,0.06896551724137931,0.017241379310344827,0.034482758620689655,0.0,0.0,0.10344827586206896,0.0,0.0,0.0,0.05172413793103448,0.017241379310344827,0.034482758620689655,0.0,0.0,0.017241379310344827,0.1896551724137931,0.034482758620689655,0.0,0.034482758620689655,0.034482758620689655,0.0,0.0,0.06896551724137931,0.05172413793103448,0.034482758620689655,0.034482758620689655,0.0,0.0,0.017241379310344827,0.017241379310344827,0.0,0.0,0.0,0.06896551724137931,0.017241379310344827,0.05172413793103448,0.0,0.05172413793103448,0.06896551724137931,0.034482758620689655,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 theredlion soccer 1u4qkd 2013-12-31 18:18:37 -1 101.0,98.0,0.742574257426,0.019801980198,0.049504950495,0.0594059405941,0.178217821782,14.0,14.0,2.0,5.71428571429,1.0,0.0714285714286,2.0,0.0,49.5,7.0,16.0492857143,0.472,0.0,0.5538,0.06666666666666667,0.06666666666666667,0.06666666666666667,0.06666666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0.06666666666666667,0.0,0.0,0.06666666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.13333333333333333,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06666666666666667,0.0,0.0,0.06666666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06666666666666667,0.06666666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06666666666666667,0.0,0.06666666666666667,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 inlandempire bikela 1u4qlzs 2014-01-01 14:54:35 1 85.0,85.0,0.752941176471,0.0235294117647,0.0823529411765,0.0117647058824,0.211764705882,10.0,10.0,2.0,7.2,0.0,0.0,1.0,0.0,85.0,10.0,23.605,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09090909090909091,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09090909090909091,0.09090909090909091,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09090909090909091,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0

where

• SOURCE_SUBREDDIT: the subreddit where the link originates
• TARGET_SUBREDDIT: the subreddit where the link ends
• POST_ID: the post in the source subreddit that starts the link
• TIMESTAMP: time time of the post
• POST_LABEL: label indicating if the source post is explicitly negative towards the target post. The value is -1 if the source is negative towards the target, and 1 if it is neutral or positive. The label is created using crowd-sourcing and training a text based classifier, and is better than simple sentiment analysis of the posts. Please see the reference paper for details.
• POST_PROPERTIES: a vector representing the text properties of the source post, listed as a list of comma separated numbers. The vector elements are the following: 1. Number of characters 2. Number of characters without counting white space 3. Fraction of alphabetical characters 4. Fraction of digits 5. Fraction of uppercase characters 6. Fraction of white spaces 7. Fraction of special characters, such as comma, exclamation mark, etc. 8. Number of words 9. Number of unique works 10. Number of long words (at least 6 characters) 11. Average word length 12. Number of unique stopwords 13. Fraction of stopwords 14. Number of sentences 15. Number of long sentences (at least 10 words) 16. Average number of characters per sentence 17. Average number of words per sentence 18. Automated readability index 19. Positive sentiment calculated by VADER 20. Negative sentiment calculated by VADER 21. Compound sentiment calculated by VADER 22. LIWC_Funct 23. LIWC_Pronoun 24. LIWC_Ppron 25. LIWC_I 26. LIWC_We 27. LIWC_You 28. LIWC_SheHe 29. LIWC_They 30. LIWC_Ipron 31. LIWC_Article 32. LIWC_Verbs 33. LIWC_AuxVb 34. LIWC_Past 35. LIWC_Present 36. LIWC_Future 37. LIWC_Adverbs 38. LIWC_Prep 39. LIWC_Conj 40. LIWC_Negate 41. LIWC_Quant 42. LIWC_Numbers 43. LIWC_Swear 44. LIWC_Social 45. LIWC_Family 46. LIWC_Friends 47. LIWC_Humans 48. LIWC_Affect 49. LIWC_Posemo 50. LIWC_Negemo 51. LIWC_Anx 52. LIWC_Anger 53. LIWC_Sad 54. LIWC_CogMech 55. LIWC_Insight 56. LIWC_Cause 57. LIWC_Discrep 58. LIWC_Tentat 59. LIWC_Certain 60. LIWC_Inhib 61. LIWC_Incl 62. LIWC_Excl 63. LIWC_Percept 64. LIWC_See 65. LIWC_Hear 66. LIWC_Feel 67. LIWC_Bio 68. LIWC_Body 69. LIWC_Health 70. LIWC_Sexual 71. LIWC_Ingest 72. LIWC_Relativ 73. LIWC_Motion 74. LIWC_Space 75. LIWC_Time 76. LIWC_Work 77. LIWC_Achiev 78. LIWC_Leisure 79. LIWC_Home 80. LIWC_Money 81. LIWC_Relig 82. LIWC_Death 83. LIWC_Assent 84. LIWC_Dissent 85. LIWC_Nonflu 86. LIWC_Filler