From mboxrd@z Thu Jan  1 00:00:00 1970
Return-Path: <guix-devel-bounces+larch=yhetil.org@gnu.org>
Received: from mp11.migadu.com ([2001:41d0:2:4a6f::])
	(using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits))
	by ms5.migadu.com with LMTPS
	id WD/4KfZwk2PcrQAAbAwnHQ
	(envelope-from <guix-devel-bounces+larch=yhetil.org@gnu.org>)
	for <larch@yhetil.org>; Fri, 09 Dec 2022 18:31:34 +0100
Received: from aspmx1.migadu.com ([2001:41d0:2:4a6f::])
	(using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits))
	by mp11.migadu.com with LMTPS
	id kL4EKvZwk2NEMgAA9RJhRA
	(envelope-from <guix-devel-bounces+larch=yhetil.org@gnu.org>)
	for <larch@yhetil.org>; Fri, 09 Dec 2022 18:31:34 +0100
Received: from lists.gnu.org (lists.gnu.org [209.51.188.17])
	(using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits))
	(No client certificate requested)
	by aspmx1.migadu.com (Postfix) with ESMTPS id 19B4B13C1F
	for <larch@yhetil.org>; Fri,  9 Dec 2022 18:31:33 +0100 (CET)
Received: from localhost ([::1] helo=lists1p.gnu.org)
	by lists.gnu.org with esmtp (Exim 4.90_1)
	(envelope-from <guix-devel-bounces@gnu.org>)
	id 1p3hDO-0003fz-Pu; Fri, 09 Dec 2022 12:31:18 -0500
Received: from eggs.gnu.org ([2001:470:142:3::10])
 by lists.gnu.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_GCM_SHA384:256)
 (Exim 4.90_1) (envelope-from <zimon.toutoune@gmail.com>)
 id 1p3hD5-0003ci-4X
 for guix-devel@gnu.org; Fri, 09 Dec 2022 12:30:59 -0500
Received: from mail-wm1-x32f.google.com ([2a00:1450:4864:20::32f])
 by eggs.gnu.org with esmtps (TLS1.2:ECDHE_RSA_AES_128_GCM_SHA256:128)
 (Exim 4.90_1) (envelope-from <zimon.toutoune@gmail.com>)
 id 1p3hCw-0007Hp-M2
 for guix-devel@gnu.org; Fri, 09 Dec 2022 12:30:49 -0500
Received: by mail-wm1-x32f.google.com with SMTP id
 p13-20020a05600c468d00b003cf8859ed1bso359437wmo.1
 for <guix-devel@gnu.org>; Fri, 09 Dec 2022 09:30:44 -0800 (PST)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20210112;
 h=mime-version:message-id:date:subject:to:from:from:to:cc:subject
 :date:message-id:reply-to;
 bh=w/WUHrCfmwffrn8n6fQDWR9T5TWG6WrpS9WKrZv9kNM=;
 b=mE0TaozZRHP8pykp96t17idPGJHsAGQay9JjBtdOe1nqa0xPZSJDNRuvuImpmA02ed
 dcptuCzErej/C/PAXRbf9Lysu8BwBnH1P12DMOXE4lFsIm8AAmQ7pujiJyn4afjoQjSR
 661qqshZmAXcfZuL0scnnxb+g5hjZuqrYICfmj72f1gBnAl1tk9GBA3SSTuGgFx41imW
 5h+mNsFaVCdCZ4zX46Hlfria9fAYdRLIT2+fhLHxSFuH/Ced+Tocf6PvSXqaPVvWi7Gj
 PIoTOnssWk3IrBY7lT1wBO8+7AMmIhxgye6lD3PLe3nOiQo80gnZFE8HVUPOyvQMxctG
 1nqw==
X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
 d=1e100.net; s=20210112;
 h=mime-version:message-id:date:subject:to:from:x-gm-message-state
 :from:to:cc:subject:date:message-id:reply-to;
 bh=w/WUHrCfmwffrn8n6fQDWR9T5TWG6WrpS9WKrZv9kNM=;
 b=atBpKJSXQI02wTkO/5oBx/R2PMqAK5je5DuTMXE+DNq7vhznGpTaT02mmGPpcNA0aT
 jrIdfH/cnukrDXIx7K6D2Dpymp12Hu+3/0O6oviYWipw2JqrQHNMthM84p0yPGNUOEb/
 fxKeWD0bRlr3VCAzfHDbXh7JXuVyttbYRJnsXYgrzF7GqRfyWdAKMfJAqDFN0chJatXo
 DbKl16glIXqTx2ImlyzOwKdWN6JBS2q8j+lFmTm9p6GNOgwop0xoCecDr0UR/eMlOXrK
 U3BBqrEgLC+E6/0B9Ieg9WZ6IlkBicONP3kgwD93f3DwncsmcWWtqmwAa6xe6qfrP1ne
 hgHg==
X-Gm-Message-State: ANoB5pnFYx+l2VqwKQkfCTApZZHk+h6d8U/TRsGOSYWbji7V/jiYxFPA
 ko7n3rwEOLATFEu3yQhchGSJeefw31A=
X-Google-Smtp-Source: AA0mqf7AKOJ0RReaHRK1lSK2szhV5d/WghgV2PtvVgPo7Ju1CGh+91s4RR9I7YRicfmA//aKq+PRjA==
X-Received: by 2002:a05:600c:540c:b0:3cf:e850:4444 with SMTP id
 he12-20020a05600c540c00b003cfe8504444mr1374794wmb.1.1670607043921; 
 Fri, 09 Dec 2022 09:30:43 -0800 (PST)
Received: from pfiuh07 ([193.48.40.241]) by smtp.gmail.com with ESMTPSA id
 be12-20020a05600c1e8c00b003cf6c2f9513sm427290wmb.2.2022.12.09.09.30.43
 for <guix-devel@gnu.org>
 (version=TLS1_3 cipher=TLS_AES_256_GCM_SHA384 bits=256/256);
 Fri, 09 Dec 2022 09:30:43 -0800 (PST)
From: zimoun <zimon.toutoune@gmail.com>
To: Guix Devel <guix-devel@gnu.org>
Subject: Some stats about the graph of dependencies
Date: Fri, 09 Dec 2022 18:29:43 +0100
Message-ID: <874ju4qyd4.fsf@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="=-=-="
Received-SPF: pass client-ip=2a00:1450:4864:20::32f;
 envelope-from=zimon.toutoune@gmail.com; helo=mail-wm1-x32f.google.com
X-Spam_score_int: -20
X-Spam_score: -2.1
X-Spam_bar: --
X-Spam_report: (-2.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1,
 DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001,
 RCVD_IN_DNSWL_NONE=-0.0001, SPF_HELO_NONE=0.001,
 SPF_PASS=-0.001 autolearn=ham autolearn_force=no
X-Spam_action: no action
X-BeenThere: guix-devel@gnu.org
X-Mailman-Version: 2.1.29
Precedence: list
List-Id: "Development of GNU Guix and the GNU System distribution."
 <guix-devel.gnu.org>
List-Unsubscribe: <https://lists.gnu.org/mailman/options/guix-devel>,
 <mailto:guix-devel-request@gnu.org?subject=unsubscribe>
List-Archive: <https://lists.gnu.org/archive/html/guix-devel>
List-Post: <mailto:guix-devel@gnu.org>
List-Help: <mailto:guix-devel-request@gnu.org?subject=help>
List-Subscribe: <https://lists.gnu.org/mailman/listinfo/guix-devel>,
 <mailto:guix-devel-request@gnu.org?subject=subscribe>
Errors-To: guix-devel-bounces+larch=yhetil.org@gnu.org
Sender: guix-devel-bounces+larch=yhetil.org@gnu.org
X-Migadu-Flow: FLOW_IN
X-Migadu-Country: US
ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=yhetil.org;
	s=key1; t=1670607094;
	h=from:from:sender:sender:reply-to:subject:subject:date:date:
	 message-id:message-id:to:to:cc:mime-version:mime-version:
	 content-type:content-type:list-id:list-help:list-unsubscribe:
	 list-subscribe:list-post:dkim-signature;
	bh=w/WUHrCfmwffrn8n6fQDWR9T5TWG6WrpS9WKrZv9kNM=;
	b=eSn9Ffw3ePQM00IIN5aCeBoxNkMQqTAvCl37WbVDL2VLzf3Q5r3r6LtrJgt9+Gdn+eR4OJ
	6o71Ri8ieliuZkQ6CW83EPE0idQ5mGDx8qUW+In7cLrrAxg051YmekBfn/RmaqdFc+01la
	rSvP+Z+TROCaf+TkE5RXf2uG6kZreJgopl8bvJIgd6VW7MfiT7O7JV9iI5+Mp6aO/ijWXG
	YITm7rudJ96qjwi7rW1lx+ROPxHm+ndm8fYHHCTflcsV0I0bSfEjOZ9jYHvPaEqjoTCrV4
	rN/QlIkRWYMjCM4Fst/KE/08ZMapb/EyNK1co9y9hxZ1PbZtk2rPVdvFxo6ixw==
ARC-Seal: i=1; s=key1; d=yhetil.org; t=1670607094; a=rsa-sha256; cv=none;
	b=nJzjR7jjdAFnSevTCZSjMK5AbSy220N45q4H2YYTydT8Ee56/bO6QdSFwaXg5hHZa4+6XM
	PIYHZzwQtgjkizc0tJ9BjfJ30e9hYgj7XjY4JScknxRGX1JBuATOLGCc7sskGc8nFxaHk6
	Zboe4BmcYSaeqDLPBb3y2482dfI3cXmgd4FsflX12bEBKejEJbTnvyboLEKPcebRG8cIUa
	KEyigj9vozRa7EQYgNuEkXZnz9Hb6ToV2pXYyc4mDx+zML5FJGqFSRLK4FFaOQTZvx+Fiu
	3rvIwOA3Fd/3SfQqJomOpO2fxj3UJQR9I0G99/49L2ggsKzGlbf7+IPZVFyTgg==
ARC-Authentication-Results: i=1;
	aspmx1.migadu.com;
	dkim=pass header.d=gmail.com header.s=20210112 header.b=mE0TaozZ;
	dmarc=pass (policy=none) header.from=gmail.com;
	spf=pass (aspmx1.migadu.com: domain of "guix-devel-bounces+larch=yhetil.org@gnu.org" designates 209.51.188.17 as permitted sender) smtp.mailfrom="guix-devel-bounces+larch=yhetil.org@gnu.org"
X-Migadu-Spam-Score: 0.05
Authentication-Results: aspmx1.migadu.com;
	dkim=pass header.d=gmail.com header.s=20210112 header.b=mE0TaozZ;
	dmarc=pass (policy=none) header.from=gmail.com;
	spf=pass (aspmx1.migadu.com: domain of "guix-devel-bounces+larch=yhetil.org@gnu.org" designates 209.51.188.17 as permitted sender) smtp.mailfrom="guix-devel-bounces+larch=yhetil.org@gnu.org"
X-Migadu-Queue-Id: 19B4B13C1F
X-Spam-Score: 0.05
X-Migadu-Scanner: scn1.migadu.com
X-TUID: pD/88KJu0OOY

--=-=-=
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: quoted-printable

Hi,

Preparing some Python stuff, I was toying with the package
python-networkx.  And Guix is awesome because it is easy to extract the
graph of dependencies.

Here dependencies are just inputs, native-inputs and propagated-inputs.
It could be interesting to also include build-system dependencies, I
have been lazy. :-)

My initial question is to know what are the =E2=80=9Cessentials=E2=80=9D?  =
By essential,
I mean the =E2=80=9Cimportant=E2=80=9C ones, the =E2=80=9Chot=E2=80=9D ones=
, etc.  The ones which are
=E2=80=9Cinfluencers=E2=80=9D =E2=80=93 yeah the world is a social network.=
 :-)

First, let extract the graph with a tiny Scheme script:

    $ guix repl -- packages-to-dict.scm > dod.py

Then, let import that into an IPython session:

    $ guix shell python python-ipython \
           python-scipy python-matplotlib python-networkx  -- ipython

and run another tiny Python script for plotting.  See Figure attached.

We can compare a link analysis metrics [1] and a centrality measure
[2]; say PageRank [3] and Eigenvector [4].  More the value is large and
higher the package is =E2=80=9Cimportant=E2=80=9C (for this metrics).

And the Directed and Undirected graphs can be compared, using Networkx
[5,6].  Well, Eigenvector centrality (or Katz centrality [7]) is failing
because the power iteration does not converge but other metrics could be
also considered.  Here is just a first rough toy. :-)

According to PageRank applied to the Directed Graph, the 10 most
=E2=80=9Cimportant=E2=80=9D packages are:

--8<---------------cut here---------------start------------->8---
[('pkg-config-0.29.2', 0.02418335991713879),
 ('perl-5.34.0', 0.015404032767249512),
 ('coreutils-minimal-8.32', 0.013240458675517012),
 ('zlib-1.2.11', 0.009107245584307803),
 ('python-pytest-6.2.5', 0.008413060648307678),
 ('ncurses-6.2.20210619', 0.007598925467605917),
 ('r-knitr-1.41', 0.00554772892485958),
 ('sbcl-rt-1990.12.19-1.a6a7503', 0.004884721933452539),
 ('bzip2-1.0.8', 0.004800877844001881),
 ('python-3.9.9', 0.00415536078558266)]
--8<---------------cut here---------------end--------------->8---

And if we compare the 3 results (Undirected with PageRank and
Eigenvector, and Directed with PageRank only, then 10 most =E2=80=9Cimporta=
nt=E2=80=9D
packages are:

--8<---------------cut here---------------start------------->8---
['pkg-config-0.29.2',
 'glib-2.70.2',
 'zlib-1.2.11',
 'gtk+-3.24.30',
 'perl-5.34.0',
 'gettext-minimal-0.21',
 'qtbase-5.15.5',
 'libxml2-2.9.12',
 'python-3.9.9',
 'autoconf-2.69']
--8<---------------cut here---------------end--------------->8---

Somehow, it means that these packages have an high influence on all the
others.  Now, we can roughly compare with the release-manifest.scm [8],

--8<---------------cut here---------------start------------->8---
       '("bootstrap-tarballs" "gcc-toolchain" "nss-certs"
         "openssh" "emacs" "vim" "python" "guile" "guix")))
       '("coreutils" "grep" "findutils" "gawk" "make"
         #;"gcc-toolchain" "tar" "xz")))
               '("xorg-server" "xfce" "gnome" "mate" "enlightenment"
                 "openbox" "awesome" "i3-wm" "ratpoison"
                 "emacs" "emacs-exwm" "emacs-desktop-environment"
                 "xlockmore" "slock" "libreoffice"
                 "connman" "network-manager" "network-manager-applet"
                 "openssh" "ntp" "tor"
                 "linux-libre" "grub-hybrid"
               '("coreutils" "grep" "sed" "findutils" "diffutils" "patch"
                 "gawk" "gettext" "gzip" "xz"
                 "hello" "zlib"))))
--8<---------------cut here---------------end--------------->8---

Well, we could investigate more and play more with some graphs tools.
For instance, include all the build-system dependencies and so on.

Some list about =E2=80=9Cstatistically important=E2=80=9D packages could he=
lp for
improving the list of =E2=80=9Cessential=E2=80=9D packages.

Although Python is great, I would like to run Guile.  Any Guile library
for manipulating graph is around?

All that to say, Guix is great! :-) And perhaps some of you have already
some Guile code for analysing graphs.  Maybe.

Well, comment or idea is welcome. :-)

1: <https://en.wikipedia.org/wiki/Network_theory#Link_analysis>
2: <https://en.wikipedia.org/wiki/Network_theory#Centrality_measures>
3: <https://en.wikipedia.org/wiki/PageRank>
4: <https://en.wikipedia.org/wiki/Eigenvector_centrality>
5: <https://networkx.org/documentation/stable/reference/algorithms/link_ana=
lysis.html>
6: <https://networkx.org/documentation/stable/reference/algorithms/centrali=
ty.html>
7: <https://en.wikipedia.org/wiki/Katz_centrality>
8: <https://git.savannah.gnu.org/cgit/guix.git/tree/etc/release-manifest.sc=
m#n47>

Cheers,
simon


--=-=-=
Content-Type: image/png
Content-Disposition: attachment; filename=Figure_1.png
Content-Transfer-Encoding: base64
Content-Description: figure
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--=-=-=
Content-Type: application/octet-stream
Content-Disposition: inline; filename=packages-to-dict.scm
Content-Transfer-Encoding: base64
Content-Description: packages-to-dict.scm
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--=-=-=
Content-Type: text/x-python
Content-Disposition: inline; filename=stats.py
Content-Description: stats.py

import networkx as nx
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import numpy as np

exec(open("dod.py").read())
UG = nx.Graph(dod)
DG = nx.DiGraph(dod)

nnodes = DG.number_of_nodes()

# nx.draw(G, with_labels=True);plt.show()

metrics = [
    (UG, nx.eigenvector_centrality),
    (UG, nx.pagerank),
    (DG, nx.pagerank),
]

results = [sorted(metric(G).items(), key=lambda k: k[1], reverse=True)
           for G, metric in metrics]

x = [i+1 for i in range(nnodes)]
y = lambda rs: [v for _, v in rs]

plt.loglog(x, y(results[0]), label="eigen Undirected", color='red', linestyle='-.')
plt.loglog(x, y(results[1]), label="pagerank Undirected", color='blue', linestyle='--')

plt.loglog(x, y(results[2]), label="pagerank Directed", color='blue', linestyle='-')

plt.legend()
plt.xlabel("packages")
plt.ylabel("metric value")
plt.grid()
plt.xlim([1, nnodes+2])
plt.ylim([1e-5, 1])
plt.show()

def common(results, n):
    packages = results[0][:2*n].copy()
    for result in results[1:]:
        for name, value in packages:
            if not name in [name for name, _ in result]:
                packages.remove((name, value))
    return [name for name, _ in packages[:n]]

--=-=-=--