digg_votes — Digg story votes and friendships (2009)

Description

Votes on stories and friendship links among users of the social news site Digg, collected by K. Lerman and R. Ghosh. The data cover 3,553 stories promoted to Digg's front page over a period of a month in 2009. For each story, all votes ("diggs") made up to the time of data collection were retrieved, together with their time (the votes span 31 May to 5 July 2009); the earliest vote on each story is that of its submitter. The friendship links of the voters were also retrieved. Users and stories are anonymized, but user ids are consistent across the two data sets, so that a user with a given id in one network is the same user in the other. The collection comprises two networks:

votes: a bipartite network of 139,409 users and the stories they voted for. Nodes are users and stories, and an edge connects a user to a story the user voted for, with one edge per vote. A few users voted more than once on the same story, so the network has some multiple edges.
friends: the friendship links of the 71,367 voters who had specified friends at the time of data collection (voters who do not appear had none). Nodes are users, and a directed edge $(i,j)$ means that user $i$ added $j$ as a friend, i.e. that $i$ watches the activities of (is a fan of) $j$. Only the friend lists of voters were retrieved, so the users who appear only as friends have no out-going edges, and the reverse of a mutual friendship is present only if both users are voters. Five users list themselves as friends (self-loops). The links were created between November 2005 and July 2009.

The networks have the following properties:

votes: Nodes: is_user, whether the node is a user (otherwise it is a story); id, the anonymized id of the user or story in the source data. Edges: time, the time of the vote (Unix time).
friends: Nodes: id, the anonymized id of the user in the source data (the same as in the votes network). Edges: time, the time when the friendship link was created (Unix time; 0 if unknown, for 1,670 links); mutual, whether the friendship is mutual, i.e. whether $j$ also added $i$ as a friend.

Tags

Social Online Economic Preferences Multigraph Timestamps

Citation

K. Lerman, R. Ghosh, "Information contagion: An empirical study of the spread of news on Digg and Twitter social networks." Proceedings of the International AAAI Conference on Web and Social Media 4(1), 90-97 (2010) 10.1609/icwsm.v4i1.14021 Sci-Hub
T. Hogg, and K. Lerman. "Social dynamics of digg." EPJ Data Science 1, 5 (2012) 10.1140/epjds5 Sci-Hub

Upstream URL OK

https://web.archive.org/web/20131126061858/http://www.isi.edu/~lerman/downloads/digg2009.html

Upstream license

For research purposes only (see the source page), https://web.archive.org/web/20131126061858/http://www.isi.edu/~lerman/downloads/digg2009.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
votes	142,962	3,018,197	42.22	217.76	572.48	2.17	-0.21	0.00	4	1.00	Undirected	Bipartite	is_user id	time	11.8 MiB	17.8 MiB	17.7 MiB	20.2 MiB
friends	279,631	1,731,658	6.19	77.76	426.20	666.20	-0.05	0.08	18	0.94	Directed	Unipartite	id	mutual time	9.0 MiB	15.4 MiB	14.7 MiB	13.9 MiB