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Problems with this dataset? Open an issue.
You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["software_dependencies/jdk"]
(and likewise for the other networks available.)

software_dependencies — Software dependencies (2010)

Description

Several networks of software dependencies. Nodes represent libraries and a directed edge denotes a library dependency on another.

Tags
Technological Software Unweighted
Citation
Upstream URL OK
http://wwwlovre.appspot.com/support.jsp
Networks
Tip: click on the table header to sort the list. Hover your mouse over it to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
jdk 6,488 150,985 23.27 479.26 129.28 15.74 -0.22 0.02 7 0.99 Directed Unipartite 148 KiB 546 KiB 536 KiB 307 KiB
jung-j 6,126 138,706 22.64 423.69 128.35 15.74 -0.23 0.02 7 1.00 Directed Unipartite 137 KiB 502 KiB 481 KiB 282 KiB
javax 3,310 22,370 6.76 59.13 42.52 418.89 -0.15 0.07 13 0.47 Directed Unipartite 65 KiB 126 KiB 123 KiB 88 KiB
java 2,379 34,858 14.65 203.53 72.40 8.49 -0.30 0.03 5 1.00 Directed Unipartite 53 KiB 141 KiB 136 KiB 85 KiB
slucene 3,471 17,512 5.05 32.76 34.35 173.27 -0.24 0.06 15 0.81 Directed Unipartite 66 KiB 124 KiB 121 KiB 89 KiB
weka 2,124 10,000 4.71 51.49 35.09 562.89 -0.27 0.04 13 0.58 Directed Unipartite 40 KiB 71 KiB 70 KiB 52 KiB
jung-c 1,040 5,363 5.16 37.38 16.46 576.87 -0.17 0.11 14 0.85 Directed Unipartite 19 KiB 35 KiB 34 KiB 24 KiB
guava 838 3,088 3.68 24.91 12.06 769.76 -0.23 0.08 17 0.55 Directed Unipartite 16 KiB 25 KiB 25 KiB 18 KiB
org 799 7,895 9.88 67.51 35.69 99.75 -0.26 0.14 5 0.61 Directed Unipartite 16 KiB 36 KiB 35 KiB 23 KiB
colt 550 3,691 6.71 48.61 16.44 41.04 -0.26 0.11 8 0.92 Directed Unipartite 11 KiB 21 KiB 20 KiB 13 KiB
jung 532 1,730 3.25 16.34 9.53 192.60 -0.21 0.10 11 0.75 Directed Unipartite 10 KiB 16 KiB 16 KiB 12 KiB
sjung 533 1,735 3.26 16.34 9.53 192.26 -0.21 0.10 11 0.75 Directed Unipartite 10 KiB 16 KiB 16 KiB 12 KiB
flamingo 388 846 2.18 8.63 8.82 93.93 -0.04 0.15 12 0.59 Directed Unipartite 7 KiB 12 KiB 11 KiB 8 KiB
scolt 550 3,691 6.71 48.61 16.44 41.04 -0.26 0.11 8 0.92 Directed Unipartite 10 KiB 20 KiB 19 KiB 12 KiB
jmail 282 893 3.17 11.30 10.83 17.58 -0.05 0.22 9 0.68 Directed Unipartite 6 KiB 9 KiB 9 KiB 6 KiB
sjbullet 309 1,742 5.64 23.30 13.12 15.89 -0.17 0.16 10 0.81 Directed Unipartite 7 KiB 12 KiB 11 KiB 8 KiB
junit 181 470 2.60 9.54 10.74 36.48 -0.22 0.20 8 0.58 Directed Unipartite 4 KiB 6 KiB 5 KiB 4 KiB
Ridiculograms
jdk drawing
jdk
jung-j drawing
jung-j
javax drawing
javax
java drawing
java
slucene drawing
slucene
weka drawing
weka
jung-c drawing
jung-c
guava drawing
guava
org drawing
org
colt drawing
colt
jung drawing
jung
sjung drawing
sjung
flamingo drawing
flamingo
scolt drawing
scolt
jmail drawing
jmail
sjbullet drawing
sjbullet
junit drawing
junit