<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:academictorrents="http://academictorrents.com/" version="2.0">
<channel>
<title>Social Media - Academic Torrents</title>
<description>collection curated by evandrix</description>
<link>https://academictorrents.com/collection/social-media</link>
<item>
<title>Reddit Public Comments (2007-10 through 2015-05) (Dataset)</title>
<description>@article{,
title= {Reddit Public Comments (2007-10 through 2015-05)},
journal= {},
author= {Stuck_In_the_Matrix},
year= {2015},
url= {https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/},
license= {},
abstract= {~1.7 billion JSON comment objects from reddit.com complete with the comment, score, author, subreddit, position in comment tree and other fields that are available through Reddit's API.},
keywords= {reddit, comments},
terms= {}
}

</description>
<link>https://academictorrents.com/download/7690f71ea949b868080401c749e878f98de34d3d</link>
</item>
<item>
<title>Arizona State University Twitter Data Set  (Dataset)</title>
<description>@article{,
title= {Arizona State University Twitter Data Set },
journal= {},
author= {R. Zafarani and H. Liu},
year= {2009},
institution= {Arizona State University, School of Computing, Informatics and Decision Systems Engineering},
url= {http://socialcomputing.asu.edu/datasets/Twitter},
abstract= {Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one neat and simple package. It's a new and easy way to discover the latest news related to subjects you care about.

|Attribute|Value|
|-|-|
|Number of Nodes: |11316811|
|Number of Edges: |85331846|
|Missing Values? |no|
|Source:| N/A|

##Data Set Information:

1. nodes.csv
-- it's the file of all the users. This file works as a dictionary of all the users in this data set. It's useful for fast reference. It contains
all the node ids used in the dataset

2. edges.csv
-- this is the friendship/followership network among the users. The friends/followers are represented using edges. Edges are directed. 

Here is an example. 

1,2

This means user with id "1" is followering user with id "2".


##Attribute Information:

Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one neat and simple package. It's a new and easy way to discover the latest news related to subjects you care about.},
keywords= {ASU, Twitter, Social, Graph},
terms= {}
}

</description>
<link>https://academictorrents.com/download/2399616d26eeb4ae9ac3d05c7fdd98958299efa9</link>
</item>
</channel>
</rss>
