Slashdot Discussion Thread Network

A Slashdot (technology news discussion forum) dataset of 51,083 nodes and 131,175 edges, collected by KONECT via Slashdot crawl. Each record contains directed: True, weighted: True, temporal: True. Directed reply network of Slashdot discussion threads — different from the Slashdot Zoo signed network, this captures comment reply structure.. Suitable for discussion thread analysis, online community structure, reply network analysis.

#Discussion thread#Konect#Reply network#Technology news

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 51,083 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

51.1K
Nodes
131.2K
Edges
5.03e-05
Density
1
Components
-0.06063
Assortativity
21.0%
Reciprocity
31.5K
Bridges
Most central nodes
4310.05707
2020.01098
10820.00691
68250.0054
438560.00538
75160.00531
2370.00509
32920.00484
93720.00456
23630.00444

Computed over the full corpus.

Record

Catalog key
slashdot-threads
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
51,083
Nodes
51,083
Edges
131,175 (directed)
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have attributes
Languages
en
Collected
2008 (2000s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://konect.cc/networks/slashdot-threads/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 886.2 KB across 1 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

329
citations
well cited
29
influential citations
9% of all citations

Cited by

Show all 10

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 Discussion Thread Network [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 Discussion Thread Network. 2008, doi.org/10.1145/1367497.1367585.

BibTeX · RIS · CSL-JSON

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