soc_net_comms — Networks with group metadata

Description

Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.¹

Friendster is an on-line gaming network. Before re-launching as a game website, Friendster was a social networking site where users can form friendship edge each other. Friendster social network also allows users form a group which other members can then join. We consider such user-defined groups as communities. For the social network, we take the induced subgraph of the nodes that either belong to at least one community or are connected to other nodes that belong to at least one community. This data is provided by The Web Archive Project, where the full graph is available.

LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join.

Orkut is a free on-line social network where users form friendship each other. Orkut also allows users form a group which other members can then join. This data is provided by Alan Mislove et al.

Youtube is a video-sharing web site that includes a social network. In the Youtube social network, users form friendship each other and users can create groups which other users can join. This data is provided by Alan Mislove et al.

The DBLP computer science bibliography provides a comprehensive list of research papers in computer science. We construct a co-authorship network where two authors are connected if they publish at least one paper together. Publication venue, e.g, journal or conference, defines an individual community; authors who published to a certain journal or conference form a community.

The Amazon Network was collected by crawling the website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each community.

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1. Description obtained from the ICON project. ↩

Tags

Online Social Collaboration Informational Relatedness Unweighted Metadata

Citation

• J. Yang and J. Leskovec. "Defining and Evaluating Network Communities based on Ground-truth." ICDM, 2012., http://arxiv.org/abs/1205.6233

Upstream URL OK

https://snap.stanford.edu/data/com-Friendster.html

Networks

Tip: click on the table header to sort the list. Hover your mouse over it to obtain a legend.

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
friendster	65,608,366	1,806,067,135	55.06	137.81	830.62	2153.71	0.19	0.02	37	1.00	Undirected	Unipartite	name communities		6.177 GiB	9.254 GiB	9.256 GiB	9.250 GiB
livejournal	3,997,962	34,681,189	17.35	42.96	447.52	8545.04	0.05	0.13	21	1.00	Undirected	Unipartite	name communities		109.6 MiB	187.9 MiB	181.8 MiB	178.6 MiB
orkut	3,072,441	117,185,083	76.28	154.78	776.75	190.23	0.02	0.04	9	1.00	Undirected	Unipartite	name communities		556.1 MiB	781.3 MiB	765.1 MiB	884.4 MiB
youtube	1,134,890	2,987,624	5.27	50.75	185.14	492.62	-0.04	0.01	24	1.00	Undirected	Unipartite	name communities		9.3 MiB	16.2 MiB	15.1 MiB	16.5 MiB
dblp	317,080	1,049,866	6.62	10.01	114.72	372.79	0.27	0.31	23	1.00	Undirected	Unipartite	name communities		7.7 MiB	11.0 MiB	9.6 MiB	9.5 MiB
amazon	334,863	925,872	5.53	5.76	20.74	10782.00	-0.06	0.21	47	1.00	Undirected	Unipartite	name communities		10.0 MiB	14.0 MiB	13.8 MiB	14.8 MiB