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flixster — Flixster friendship network (2010)

Description

A friendship network among users of Flixster, a social movie website where users share movie ratings, discover new movies and meet others with similar movie taste, crawled in December 2010 by Javier Parra at Arizona State University and distributed by the Social Computing Data Repository (originally at Arizona State University, now at Syracuse University). Nodes are users (anonymized), and a directed edge $i \to j$ is a line of the source data stating that "user $i$ is friend with user $j$".

Some friendships are listed in both directions: of the 9,197,337 edges, 2,557,072 are reciprocated (1,278,536 mutual pairs) and 6,640,265 are listed in one direction only (7,918,801 distinct pairs of users in all). The edges are kept as they are listed. (The source documentation states 9,197,338 edges, counting a blank first line of the file.) The users' identifiers range up to 2,523,388, but only the 2,523,386 users of the node list occur in the data.

The network has the following properties:

  • (Node) user_id: the identifier of the user in the source data.
Tags
Social Online Unweighted
Added
2020-08-11
Citation
  • R. Zafarani, H. Liu, "Social Computing Data Repository at ASU." Arizona State University, School of Computing, Informatics and Decision Systems Engineering (2009) datasets.syr.edu
Upstream URL OK
https://datasets.syr.edu/
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
flixster 2,523,386 7,918,801 6.28 36.64 145.66 108.52 -0.32 0.01 8 1.00 Undirected Unipartite 51.3 MiB 73.8 MiB 74.1 MiB 70.7 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.