Slashdot Zoo Signed Network (Cumulative)
A Slashdot.org (technology news and discussion) dataset of 82,144 users and 1,601,229 directed signed edges (1,234,967 friend, 366,262 foe) merged from 3 snapshots, collected by Leskovec et al. via Slashdot crawls over November 2008 to February 2009, distributed by SNAP. Each record contains directed signed edges between users: +1 indicates an explicit friend tag, -1 indicates an explicit foe tag; three temporal snapshots merged into one cumulative graph. one of the canonical signed social network benchmarks, notable for its explicit friend/foe labeling system and use as a primary dataset in foundational signed network research including balance theory and status theory studies. Suitable for signed network analysis, link sign prediction, structural balance theory, status theory validation, community detection in signed graphs, and trust/distrust propagation modeling.
Cite this dataset at
slashdot-zoo.echo.directory
Analytics
The full graph has 82,144 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
slashdot-zoo- Authors
- Gómez, Vicenç; Kaltenbrunner, Andreas; López, Vicente
- Year
- 2008
- Source paper
- Statistical analysis of the social network and discussion threads in slashdot
- DOI / arXiv
- 10.1145/1367497.1367585
- License
- CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
- Records
- 82,144
- Nodes
- 82,144
- Edges
- 1,601,229 (directed)
- Nodes are
- user
- Edges are
- signed trust
- Attributes
- nodes have no attributes; edges have attributes
- Languages
- en
- Collected
- November 2008 to February 2009 (2000s)
- Tasks
- Edge sign prediction (binary;
sign) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://snap.stanford.edu/data/soc-sign-Slashdot081106.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 5.3 MB across 3 files. Checksums in MANIFEST.json.
Citations
Statistical analysis of the social network and discussion threads in slashdot
V. Gómez, Andreas Kaltenbrunner, Vicente López
Journal Article · The Web Conference · 2008
Cited by
- Predicting the popularity of online content
G. Szabó, B. Huberman · Communications of the ACM · 2008 · cited 1.1K× - MADRID ! Track : Social Networks and Web 2 . 0 / Session : Diffusion and Search in Social Networks 721
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Cristian Danescu-Niculescu-Mizil, Lillian Lee · CMCL@ACL · 2011 · cited 468× - 4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community
Michael S. Bernstein, A. Monroy-Hernández et al. · International Conference on Web and Social Media · 2011 · cited 335× - Using a model of social dynamics to predict popularity of news
Kristina Lerman, T. Hogg · The Web Conference · 2010 · cited 326×
Show all 10
- Identifying Influential Spreaders by Weighted LeaderRank
Qian Li, Tao Zhou et al. · arXiv.org · 2013 · cited 248× - A survey on predicting the popularity of web content
Alexandru-Florin Tatar, M. D. de Amorim et al. · Journal of Internet Services and Applications · 2014 · cited 247× - Evolution of social-attribute networks: measurements, modeling, and implications using google+
N. Gong, Wen-Chang Xu et al. · ACM/SIGCOMM Internet Measurement Conference · 2012 · cited 232× - Comparison of online social relations in volume vs interaction: a case study of cyworld
Hyunwoo Chun, Haewoon Kwak et al. · ACM/SIGCOMM Internet Measurement Conference · 2008 · cited 209× - The anatomy of Reddit: An overview of academic research
Alexey N. Medvedev, R. Lambiotte et al. · Dynamics On and Of Complex Networks III · 2017 · cited 170×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{G_mez_2008,
series = {WWW ’08},
title = {Statistical analysis of the social network and discussion threads in slashdot},
url = {http://dx.doi.org/10.1145/1367497.1367585},
doi = {10.1145/1367497.1367585},
booktitle = {Proceedings of the 17th international conference on World Wide Web},
publisher = {ACM},
author = {Gómez, Vicenç and Kaltenbrunner, Andreas and López, Vicente},
year = {2008},
month = Apr,
pages = {645–654},
collection = {WWW ’08}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Gómez, V., Kaltenbrunner, A., & López, V. (2008). Slashdot Zoo Signed Network (Cumulative) [Data set]. https://doi.org/10.1145/1367497.1367585
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Gómez, Vicenç, et al. Slashdot Zoo Signed Network (Cumulative). 2008, doi.org/10.1145/1367497.1367585.