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myspace_aminer — MySpace social graph

Description

Social graph of users of MySpace, a social networking website with a strong emphasis on music. Nodes are user accounts, identified by integer IDs, and edges are connections between them. The data are part of a collection of crawled social networks (Twitter, LiveJournal, Flickr, Last.fm, MySpace, LinkedIn and ArnetMiner) distributed by the AMiner group of Tsinghua University (Y. Zhang and J. Tang) for the study of the linkage of user identities across social networks. The date of collection and the crawling procedure are not documented, but the data were collected no later than 2013.

In the source data each connected pair of users is listed only once, always with the smaller ID first, and the source does not document whether the relationship is directed; the edges are therefore stored as undirected. The network contains 854,440 self-loops, as almost every node in the source file is connected to itself.

The network has the following properties:

  • (Node) name: the user ID in the source data.
  • (Node) username: the user name.
Tags
Social Online Unweighted
Added
2020-08-11
Citation
  • T. Chen, M. A. Kaafar, A. Friedman, and R. Boreli. "Is more always merrier?: a deep dive into online social footprints." In 2012 ACM workshop on Workshop on online social networks, pages 67–72, 2012. 10.1145/2342549.2342565 Sci-Hub
  • D. Perito, C. Castelluccia, M. A. Kaafar, and P. Manils. "How unique and traceable are usernames?" In Privacy Enhancing Technologies, pages 1–17. Springer, 2011 10.1007/978-3-642-22263-4_1 Sci-Hub
  • H. Kwak, C. Lee, H. Park, and S. Moon. "What is Twitter, a social network or a news media?" In WWW ’10: Proceedings of the 19th international conference on World wide web, pages 591–600, New York, NY, USA, 2010. ACM. 10.1145/1772690.1772751 Sci-Hub
  • Yutao Zhang, Jie Tang, "Social Network Integration: Towards Constructing the Social Graph", arxiv:1311.2670 arXiv:1311.2670
Upstream URL 404
https://lfs.aminer.cn/lab-datasets/multi-sns/
Networks
Tip: hover over a column header 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
myspace_aminer 854,498 6,489,736 7.59 61.61 188.16 123.17 -0.02 0.00 14 1.00 Directed Unipartite name 28.4 MiB 44.8 MiB 45.0 MiB 40.9 MiB
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.