The network structure of R packages on CRAN and BioConductor

1. adevries@microsoft.com jrickert@microsoft.com

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7. *Note: Colour indicates communities found by the
walktrap algorithm, but has no common
meaning in the two networks

13. nodes edges average.path.length assortativity.degree no.clusters cluster.coef
cran 6867 14749 2.72 -0.082 1573 0.015
bioc 1552 5756 1.95 -0.078 70 0.060

14. Bootstrap sample: n = 1000, size of each subgraph = 500 nodes, no replacement
Two-sample Kolmogorov-Smirnov test
data: CRAN and BioConductor
D = 0.643, p-value < 2.2e-16
alternative hypothesis: two-sided

15. power.law.fit power.law.xmin power.law.KS.p
cran 2.55 5 0.061
bioc 2.59 9 0.632

16. Degree distribution of CRAN and BioConductor

17. Typical small sample n =100 P-value distribution

19. Formula: bioc_net ~ edges + degree(c(1, 2))