We are pleased to announce a new release of host-level and domain-level web graphs based on the published crawls of August, September, and October 2017. These graphs, along with ranked lists of hosts and domains, follow the first (February, March, April 2017) and second (May, June, July 2017) web graph releases. Additional information about data formats, the processing pipeline, our objectives, and credits can be found in a prior announcement.

What’s new?

Here is a summary of notable aspects of this web graph release:

  • Tools and scripts to produce the web graph and rank the graph vertices are released as part of the project “cc-webgraph” on GitHub.
  • As compared to prior web graphs, two changes are caused by the large size of this host-level graph (5.1 billion hosts):
    • the text dump of the graph is split into multiple files;
    • there is no page rank calculation at this time. At present, we provide ranking by harmonic centrality, and hope to add page rank values in the upcoming weeks.
  • For the domain-level graph, we provide ranking by both harmonic centrality and page rank.
  • The host-level graph contains a significant portion of hosts related to link spam clusters (possibly 50% or more of the hosts). This data set, therefore, is a useful tool for the study of link spam; from it, we have identified 300,000 spam domains. 2.25 billion hosts in the host-level webgraph belong to these domains. However, in the October crawl archive, these domains comprise less than 2% of the crawled HTML pages (56 million pages out of 3.6 billion) and less than 0.3% of the crawled domains (70,000 out of 26 million). We will start to penalize pages from these domains going forward.

Host-level graph

The graph consists of 5.1 billion nodes and 18.8 billion edges. The graph includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. The host names are reversed and a leading www. is stripped: www.subdomain.example.com becomes com.example.subdomain.

You can download the graph and the ranks of all 5.1 billion hosts from AWS S3 on the path s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/hostgraph/. Alternatively, you can use https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/hostgraph/ as prefix to access the files from everywhere.

The following files and formats are provided:

SizeFileDescription
27.9 GBvertices.paths.gznodes ⟨id, rev host⟩, paths of 48 vertices files
95.2 GBedges.paths.gzedges ⟨from_id, to_id⟩, paths of 72 edge files
37.9 GBbvgraph.graphgraph in BVGraph format
2.0 GBbvgraph.offsets
2 kBbvgraph.properties
56.9 GBbvgraph-t.graphtranspose of the graph (outlinks mapped to inlinks)
6.7 GBbvgraph-t.offsets
2 kBbvgraph-t.properties
1 kBbvgraph.statsWebGraph statistics
32 GBranks.txt.gzhosts ranked by harmonic centrality

To download the graph in text format, you need to download all files listed in the two path listings.

Domain-level graph

The domain graph was built by aggregating the host graph on the level of pay-level domains (PLDs). The extraction of PLDs is based on the public suffix list from publicsuffix.org. Only “ICANN” domains are accepted; “private” domains are not accepted (cf. section “divisions” in the documentation on publicsuffix.org). For example, foo.blogspot.com and commoncrawl.s3.amazonaws.com are not accepted as pay-level domains, they are aggregated, respectively, as the domains blogspot.com, amazonaws.com.

The domain-level graph has 93 million nodes and 1,258 million edges. 60% or 56 million nodes are dangling nodes, the largest strongly connected component covers 31 million or 33% of the nodes.

All files related to the domain graph are available on AWS S3 under s3://commoncrawl/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/domaingraph/ resp. https://commoncrawl.s3.amazonaws.com/projects/hyperlinkgraph/cc-main-2017-aug-sep-oct/domaingraph/.

Download files of the Common Crawl Aug/Sept/Oct 2017 domain-level webgraph

SizeFileDescription
0.65 GBvertices.txt.gznodes ⟨id, rev host⟩
5.0 GBedges.txt.gzedges ⟨from_id, to_id⟩
2.7 GBbvgraph.graphgraph in BVGraph format
0.09 GBbvgraph.offsets
2 kBbvgraph.properties
3.0 GBbvgraph-t.graphtranspose of the graph (outlinks mapped to inlinks)
0.14 GBbvgraph-t.offsets
2 kBbvgraph-t.properties
1 kBbvgraph.statsWebGraph statistics
1.9 GBranks.txt.gzharmonic centrality and pagerank

Below you’ll find the top 1000 domains ranked by Harmonic Centrality or PageRank. The full list of all 93 million domains is available for download.

Top 1000 domains ranked by harmonic centrality (Aug/Sept/Oct 2017)

harmonic
centrality
rank
hc valuepage rankpage rank
value
reversed domain name
12462439410.016162com.facebook
22248914230.009682com.google
32223066640.009431com.twitter
42192025020.011812com.googleapis
52144646250.008148com.youtube
61915827260.005169org.gmpg
71891859670.003893com.instagram
81878007490.003043com.linkedin
918322072100.002469org.wordpress
1018163650200.001295org.wikipedia
1117977714160.001665com.pinterest
1217934400230.001146com.wordpress
1317769666300.000940com.blogspot
1417754502150.001705com.apple
1517668520190.001310com.gravatar
1617559336210.001278com.vimeo
1717418572110.002239com.adobe
1817384530260.001022com.microsoft
1917371196360.000819com.amazon
2017338218140.001979com.macromedia
2117291274560.000617com.flickr
2217174674480.000707com.tumblr
2317140484460.000716be.youtu
2417134992390.000792gl.goo
2517053582270.001006com.paypal
2616948294720.000500com.yahoo
2716940548730.000498ly.bit
2816907622250.001066com.amazonaws
2916905114350.000836me.wp
3016860996970.000263com.nytimes
3116822716380.000794com.github
3216802262320.000884io.github
3316747451800.000376org.creativecommons
34167136171070.000223com.googleusercontent
3516708091860.000325com.weebly
36166913361100.000213com.blogger
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50164885541020.000239com.android
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19615774946280.000982ru.yandex
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9531517047235190.000008cc.arduino
9541517031824360.000013net.oauth
955151700614460.000049com.gotowebinar
9561517003026070.000012us.zoom
9571516970319720.000016com.wetransfer
958151692215970.000040ru.google
959151690014500.000049com.meyerweb
9601516887634200.000009org.britishcouncil
9611516868833940.000009net.deviantart
9621516862311720.000024com.intuit
9631516843810880.000026com.americanexpress
9641516842620080.000016com.amzn
9651516777620600.000016net.speedtest
9661516750532060.000009se.blogspot
967151673654090.000053com.mapbox
9681516702436940.000008edu.uky
9691516670710220.000028gov.va
9701516666340380.000007com.secondlife
9711516655120610.000016com.comcast
9721516593414960.000019com.espn
9731516573410540.000027com.walmart
9741516562141690.000007org.edublogs
9751516505321280.000015com.mydomain
976151645789820.000029us.tx.state
9771516437241600.000007ca.yorku
9781516429410560.000027jp.ne.goo
979151641038120.000036com.emarketer
9801516308618220.000018uk.gov.legislation
9811516290336680.000008tt.db
9821516264359400.000005edu.ua
9831516235733910.000009com.mlive
9841516220513480.000021com.arabianbusiness
9851516213419420.000017org.c-span
9861516131519160.000017uk.co.wired
9871516107624820.000012org.worldcat
9881515960823140.000014net.daum
9891515921526310.000012com.chow
9901515918233010.000009org.ibiblio
9911515904112230.000023gov.archives
9921515859125390.000012com.univision
9931515814819380.000017com.aliexpress
9941515704043770.000007com.vodpod
9951515698318530.000018com.merriam-webster
9961515690824270.000013org.hrc
9971515631925160.000012com.crunchbase
9981515616233510.000009fr.cnrs
9991515594714310.000020com.ktvb
1000151555583260.000068pl.google

Credits

Thanks to the authors of the WebGraph framework, whose software made the computation of graph properties and ranks possible.

We hope the data will be useful for you to do any kind of research on ranking, graph analysis, link spam detection, etc. Let us know about your results via Common Crawl’s Google Group!