cpan — CPAN Perl authors and distributions (2009)

Description

Networks of the Comprehensive Perl Archive Network (CPAN), the repository of software packages ("distributions") of the Perl programming language, from the CPAN-Explorer visualization project of RTGI/Linkfluence and the Gephi team. The networks were built from the data of CPANTS (the CPAN Testing Service), and were distributed as Gephi example data sets, as a snapshot from July 2009.

authors: nodes are CPAN authors (developers), and a directed edge $i \to j$ indicates that author $i$ uses a module written by author $j$, with weight equal to the number of such uses (the "cardinal" of the edge in the source file). 110 edges are self-loops (authors using their own modules).
distributions: nodes are CPAN distributions, and a directed edge $i \to j$ indicates that distribution $i$ depends on distribution $j$. Some dependencies are listed more than once in the source file, and are kept as parallel edges.

The networks have the following properties:

name: the name of the author or distribution.
pauseid (authors): the author's identifier in PAUSE, the Perl authors upload server.
totalmodules (authors): the total number of modules of the author.
avg_kwalitee, avg_total_kwalitee (authors): the average "kwalitee" of the author's distributions, the quality score computed by CPANTS from a set of automated checks (the exact definitions of the two variants are not documented in the source).
rank (authors): a rank of the author given in the source data, whose definition is not documented.
weight (authors): the number of uses.

Tags

Technological Software Social Collaboration Weighted Multigraph Metadata

Citation

S. Heymann, "CPAN-Explorer, an interactive exploration of the Perl ecosystem." Gephi blog (2009) gephi.wordpress.com

Upstream URL OK

https://docs.gephi.org/desktop/User_Manual/Datasets/
https://gephi.wordpress.com/2009/06/25/cpan-explorer-an-interactive-exploration-of-the-perl-ecosystem/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
authors	840	2,248	2.68	19.11	23.84	4.34	-0.40	0.04	6	1.00	Directed	Unipartite	name totalmodules pauseid avg_kwalitee rank avg_total_kwalitee	weight	20 KiB	31 KiB	30 KiB	25 KiB
distributions	2,740	5,426	1.98	21.40	19.95	44.57	-0.42	0.01	9	0.99	Directed	Unipartite	name		28 KiB	46 KiB	44 KiB	41 KiB