Web Tracker Co-occurrence Network

A Web tracking ecosystem dataset of 40,421,974 nodes and 140,613,762 edges, collected by KONECT via web crawl. Each record contains directed: False, weighted: False. Network of web trackers co-occurring on the same websites — useful for studying the tracking ecosystem and privacy implications.. Suitable for web tracking analysis, privacy research, network structure of advertising.

#Konect#Online tracking#Web tracker

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· graph.json

The full graph has 40,421,974 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

40.4M
Nodes
140.6M
Edges
1.72e-07
Density
255.6K
Components
-0.09966
Assortativity
0.0%
Reciprocity
16.6M
Bridges
Most central nodes
R180.2863
R250.1072
R1770.1045
R50.07633
R4240.05311
R330.04913
R80.04049
R1950.03934
R2940.03685
R2480.03226

Computed over the full corpus.

Record

Catalog key
trackers
Authors
Schelter, Sebastian; Kunegis, Jérôme
Year
2021
Source paper
Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers
DOI / arXiv
10.1609/icwsm.v10i1.14769
License
CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
Records
40,421,974
Nodes
40,421,974
Edges
140,613,762
Nodes are
web tracker
Edges are
co-occurrence
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2012 (2010s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://konect.cc/networks/trackers-trackers/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 494.9 MB across 1 files. Checksums in MANIFEST.json.

Citations

Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers
S. Schelter, Jérôme Kunegis
Journal Article · International Conference on Web and Social Media · 2016

44
citations
cited
3
influential citations
7% 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}
}

@article{Schelter_2021,
  title     = {Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers},
  volume    = {10},
  issn      = {2162-3449},
  url       = {http://dx.doi.org/10.1609/icwsm.v10i1.14769},
  doi       = {10.1609/icwsm.v10i1.14769},
  number    = {1},
  journal   = {Proceedings of the International AAAI Conference on Web and Social Media},
  publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
  author    = {Schelter, Sebastian and Kunegis, Jérôme},
  year      = {2021},
  month     = Aug,
  pages     = {679–682}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Schelter, S., & Kunegis, J. (2021). Web Tracker Co-occurrence Network [Data set]. https://doi.org/10.1609/icwsm.v10i1.14769

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Schelter, Sebastian, and Jérôme Kunegis. Web Tracker Co-occurrence Network. 2021, doi.org/10.1609/icwsm.v10i1.14769.

BibTeX · RIS · CSL-JSON

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