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June 16, 2020

Host- and Domain-Level Web Graphs Feb/Mar/May 2020

We are pleased to announce a new release of host-level and domain-level web graphs based on the crawls of February, March/April and May/June 2020. Additional information about the data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases.
Sebastian Nagel
Sebastian Nagel
Sebastian is a Distinguished Engineer with Common Crawl.

We are pleased to announce a new release of host-level and domain-level web graphs based on the crawls of February, March/April and May/June 2020. Additional information about the data formats, the processing pipeline, our objectives, and credits can be found in the announcements of prior webgraph releases (e.g., Nov/Dec/Jan 2017-2018 Webgraphs). You may also visit the projects cc-webgraph and cc-pyspark which host all scripts and tools required to construct the graphs.

What's new?

The host-level graph now includes hosts visited by the crawler but not linking to any other host. Why is this possible – isn't any host found via links the crawler is following? Yes, but some links were already detected in a prior crawl, not in one of the 3 crawls used to build the web graphs. More details about the issue are given in cc-pyspark#15. The impact of this fix on the graph size is minimal: the recent crawl now includes 1 million nodes (0.1% of all nodes) which are not connected to any other node.

Host-level graph

The graph consists of 927 million nodes and 3.88 billion edges and includes dangling nodes i.e. hosts that have not been crawled yet are pointed to from a link on a crawled page. There are 857 million dangling nodes (92.5%) and the largest strongly connected component contains 47 million (5.1%) nodes.

You can download the graph and the ranks of all 927 million hosts from AWS S3 on the path s3://commoncrawl/projects/hyperlinkgraph/cc-main-2020-feb-mar-may/host/. Alternatively, you can use https://data.commoncrawl.org/projects/hyperlinkgraph/cc-main-2020-feb-mar-may/host/ as prefix to access the files from everywhere.

Download files of the Common Crawl Feb/Mar/May 2020 host-level Webgraph

Size File Description
5.67 GB cc-main-2020-feb-mar-may-host-vertices.paths.gz nodes ⟨id, rev host⟩, paths of 12 vertices files
17.26 GB cc-main-2020-feb-mar-may-host-edges.paths.gz edges ⟨from_id, to_id⟩, paths of 24 edges files
7.40 GB cc-main-2020-feb-mar-may-host.graph graph in BVGraph format
2 kB cc-main-2020-feb-mar-may-host.properties
8.57 GB cc-main-2020-feb-mar-may-host-t.graph transpose of the graph (outlinks inverted to inlinks)
2 kB cc-main-2020-feb-mar-may-host-t.properties
1 kB cc-main-2020-feb-mar-may-host.stats WebGraph statistics
12.16 GB cc-main-2020-feb-mar-may-host-ranks.txt.gz harmonic centrality and pagerank

Note that the host names are reversed and a leading www. is stripped: www.subdomain.example.com becomes com.example.subdomain.

Domain-level graph

The domain graph was built by aggregating the host graph on the level of pay-level domains (PLDs) based on the public suffix list maintained on publicsuffix.org.

The domain-level graph has 91 million nodes and 1.96 billion edges. 51% or 46 million nodes are dangling nodes, the largest strongly connected component covers 36 million or 39% of the nodes.

All files related to the domain graph are available on AWS S3 under s3://commoncrawl/projects/hyperlinkgraph/cc-main-2020-feb-mar-may/domain/ resp. https://data.commoncrawl.org/projects/hyperlinkgraph/cc-main-2020-feb-mar-may/domain/.

Download files of the Common Crawl Feb/Mar/May 2020 domain-level Webgraph

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!

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