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lastfm_aminer — Last.fm social graph

Description

A snapshot of the social network of Last.fm, a music website and streaming radio service, where users can connect as friends. The network is part of a collection of several online social networks distributed by AMiner (Tsinghua University) for research on social network integration, i.e. on identifying the accounts of the same person across different services (Y. Zhang and J. Tang); judging from the references given with the data, parts of it originate from earlier studies on linking user accounts across services (D. Perito et al., 2011; T. Chen et al., 2012). The crawling procedure is not documented. According to the ICON index, the data were collected in late 2013. Nodes are users, identified by integer IDs, and include all users listed in the source data, 11 of which have no connections. An edge connects two users who are connected in the social network; the type of connection (presumably friendship) is not documented by the source. 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 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
lastfm_aminer 136,409 1,685,524 12.36 62.52 296.00 66.07 0.05 0.09 12 1.00 Directed Unipartite name 5.3 MiB 9.3 MiB 9.2 MiB 8.2 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.