From ff6073838e23eca46119cffac7855fddea3ef48f Mon Sep 17 00:00:00 2001 From: KatolaZ Date: Thu, 28 Sep 2017 07:36:24 +0100 Subject: Added "debian/" directory for deb packages --- debian/control | 49 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 debian/control (limited to 'debian/control') diff --git a/debian/control b/debian/control new file mode 100644 index 0000000..3fe75a8 --- /dev/null +++ b/debian/control @@ -0,0 +1,49 @@ +Source: netbunch +Section: science +Priority: optional +Maintainer: Vincenzo (KatolaZ) Nicosia +Build-Depends: debhelper (>= 9), autotools-dev +Standards-Version: 3.9.8 +Homepage: http://www.complex-networks.net +Vcs-Git: https://github.com/KatolaZ/NetBunch/ +#Vcs-Browser: https://anonscm.debian.org/cgit/collab-maint/netbunch.git + +Package: netbunch +Architecture: any +Depends: ${shlibs:Depends}, ${misc:Depends} +Description: A collection of programs for complex networks analysis + NetBunch is a collection of command-line programs for complex + networks analysis, accompanying the textbook "Complex Networks: + Principles, Methods and Applications" by V. Latora, V. Nicosia, + G. Russo, Cambridge University Press (2017). + . + The suite includes programs to compute simple node and graph + properties, such as: + . + - connected components + - degrees and degree correlations + - node centrality + - paths and distances + - node and edge betweenness + - centrality + - clustering + - cycles + - motifs + - communities + - spanning trees + - ... + . + Moreover, NetBunch includes utilities to create synthetic + networks using different models, such as: + . + - Erdos-Renyi random graphs + - Configuration model + - Small-world model (Watts-Strogatz) + - Linear preferential attachment (Barabasi-Albert) + - Linear preferential attachment with tunable exponent + (Dorogovtsev-Mendes-Samukin) + - Fitness model (Bianconi-Barabasi) + - Hidden-variable model (Boguna and Pastor-Satorras) + - .... + + -- cgit v1.2.3