Web trackers

This is the bipartite network of internet domains and the trackers they contain, such as the Facebook button and Google Analytics. Left nodes are domains and right nodes are trackers, identified also by their domain.


Internal nametrackers-trackers
NameWeb trackers
Data sourcehttps://ssc.io/trackingthetrackers/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Hyperlink network
Dataset timestamp 2012
Node meaningDomain, tracker
Edge meaningInclusion
Network formatBipartite, undirected
Edge typeUnweighted, no multiple edges


Size n =40,421,974
Left size n1 =27,665,730
Right size n2 =12,756,244
Volume m =140,613,762
Wedge count s =106,441,673,202,003
Claw count z =2.963 5 × 1020
Cross count x =7.817 07 × 1026
Maximum degree dmax =11,571,952
Maximum left degree d1max =1,100,065
Maximum right degree d2max =11,571,952
Average degree d =6.957 29
Average left degree d1 =5.082 60
Average right degree d2 =11.023 1
Fill p =3.984 40 × 10−7
Size of LCC N =39,821,755
Diameter δ =21
50-Percentile effective diameter δ0.5 =3.359 14
90-Percentile effective diameter δ0.9 =4.608 99
Median distance δM =4
Mean distance δm =3.789 13
Gini coefficient G =0.734 715
Balanced inequality ratio P =0.219 572
Left balanced inequality ratio P1 =0.274 646
Right balanced inequality ratio P2 =0.119 211
Relative edge distribution entropy Her =0.762 650
Power law exponent γ =2.212 82
Tail power law exponent γt =2.161 00
Degree assortativity ρ =−0.057 485 9
Degree assortativity p-value pρ =0.000 00
Spectral norm α =3,790.86


Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the normalized adjacency matrix

Hop distribution



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Sebastian Schelter and Jérôme Kunegis. Tracking the trackers: A large-scale analysis of embedded web trackers. In Proc. Int. Conf. on Web and Soc. Media, pages 679–682, 2016. [ http ]
[3] Sebastian Schelter and Jérôme Kunegis. On the ubiquity of web tracking: Insights from a billion-page web crawl. J. of Web Sci., 4(4):53–66, 2018. [ http ]