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livejournal_asu — LiveJournal friendships, ASU crawl (2010)

Description

A network of friendships among users of LiveJournal, a virtual community where users keep a blog, journal or diary, crawled in July 2010 by R. Zafarani, W. D. Cole and H. Liu (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 $i \to j$ indicates that user $i$ lists user $j$ as a friend (in LiveJournal, friendship is declared by one user and need not be reciprocated; the source data state only that "user $i$ is friend with user $j$"). About 3.5 million of the 14.6 million edges are reciprocated, and 68,853 edges are self-loops.

This crawl is different from the other LiveJournal networks in the repository (e.g. livejournal, ljournal_2008).

Tags
Social Online Unweighted
Citation
  • R. Zafarani, W. D. Cole, H. Liu, "Sentiment propagation in social networks: a case study in LiveJournal." Advances in Social Computing (SBP 2010), Lecture Notes in Computer Science 6007, 413-420 (2010) 10.1007/978-3-642-12079-4_52 Sci-Hub
  • R. Zafarani, H. Liu, "Social Computing Data Repository at ASU." Arizona State University, School of Computing, Informatics and Decision Systems Engineering (2009) web.archive.org
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
livejournal_asu 2,238,731 14,608,137 6.53 62.96 214.22 290.82 -0.10 0.03 8 1.00 Directed Unipartite 34.1 MiB 62.5 MiB 61.9 MiB 62.2 MiB