History of facebook_organizations
The changes to the source code of this entry in the repository, newest first, each with the differences it made to the entry's files. They are also listed on GitLab.
[entries] Use American spelling in the descriptions 802d564
British spellings in the titles and descriptions of 69 entries (e.g. labelled, organisation, millimetres, centres, anonymised, neighbours, analysed, modelled, colour, licence) are replaced by the American ones. Proper names keep their spelling (Otago Harbour, the Centre for Water Systems, the Centre jeunesse de Montréal, the Dutch Ministry of Defence), as do quoted upstream terms, citations, and property names.
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index 8592205..e55e806 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -21,7 +21,7 @@ from .. import *
title = "Within-organization Facebook friendships (2012)"
description = r"""Six networks of Facebook friendships among employees of six anonymized high-tech companies, collected in 2012 by M. Fire and R. Puzis. Nodes are Facebook users who stated in their public profile that they worked for the target company, and an undirected edge connects two such users who are Facebook friends; only friendships between employees of the same company are included. The data were obtained with a focused crawler that starts from seed profiles of known employees and preferentially explores profiles with many friends already identified as employees, matching company-related keywords in each public profile. User identities were anonymized by replacing Facebook IDs with consecutive integers, which are stored in the vertex property `name`.
-The companies are grouped by size: small (`S1`, `S2`; 500 to 2,000 employees), medium (`M1`, `M2`; 4,000 to 20,000 employees) and large (`L1`, `L2`; more than 50,000 employees). Companies labelled 1 were crawled with the first version of the crawler, which stops when its queue is exhausted, and those labelled 2 with a second version with a stricter stopping condition. The companies described in the paper are a network hardware company (S1), a software company (S2), a telecommunication services company (M1), a software and outsourcing company (M2), and two large multinational technology corporations (L1, L2). Note that the sizes of the published `S1` (320 nodes, 2,369 edges) and `S2` (165 nodes, 726 edges) networks are swapped relative to those reported in the paper. The employee job positions analyzed in the paper are not included in the data."""
+The companies are grouped by size: small (`S1`, `S2`; 500 to 2,000 employees), medium (`M1`, `M2`; 4,000 to 20,000 employees) and large (`L1`, `L2`; more than 50,000 employees). Companies labeled 1 were crawled with the first version of the crawler, which stops when its queue is exhausted, and those labeled 2 with a second version with a stricter stopping condition. The companies described in the paper are a network hardware company (S1), a software company (S2), a telecommunication services company (M1), a software and outsourcing company (M2), and two large multinational technology corporations (L1, L2). Note that the sizes of the published `S1` (320 nodes, 2,369 edges) and `S2` (165 nodes, 726 edges) networks are swapped relative to those reported in the paper. The employee job positions analyzed in the paper are not included in the data."""
tags = ['Social', 'Online', 'Unweighted']
url = 'https://data4goodlab.github.io/MichaelFire/#section3'
citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
[entries] Fix parse bugs and improve the metadata of existing entries c996a0e
From a review of the dataset descriptions against the upstream sources and papers, and from user reports: - parse fixes (wrong edge direction or directedness, shifted or misnamed properties, merged node identities, duplicated or missing edges and nodes, wrong types), e.g. arxiv_citation (the HepTh dates were a copy of the HepPh ones; now from the KDD Cup 2003 data), eu_procurements, foursquare_global, hiv_transmission, genetic_multiplex, gnutella (adds the 05 snapshot), roadnet, macaque_neural, python_dependency - descriptions rewritten from the upstream sources, documenting every property - corrected titles, citations and DOIs, licences (ustream_license typo, the data's own terms), tags and ICON ids - url lists for entries with several sources or dataset pages - SocioPatterns entries moved to the site's new data location, with the daily networks of sp_infectious and sp_primary_school - the Michael Fire entries marked as orphans (served from the mirror) - redundant type forcings removed after the graph-tool coercion fixes
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index a217a02..8592205 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -18,15 +18,19 @@
from .. import *
-title = "Within-organization Facebook friendships (2013)"
-description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.[^icon]
-[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
+title = "Within-organization Facebook friendships (2012)"
+description = r"""Six networks of Facebook friendships among employees of six anonymized high-tech companies, collected in 2012 by M. Fire and R. Puzis. Nodes are Facebook users who stated in their public profile that they worked for the target company, and an undirected edge connects two such users who are Facebook friends; only friendships between employees of the same company are included. The data were obtained with a focused crawler that starts from seed profiles of known employees and preferentially explores profiles with many friends already identified as employees, matching company-related keywords in each public profile. User identities were anonymized by replacing Facebook IDs with consecutive integers, which are stored in the vertex property `name`.
+
+The companies are grouped by size: small (`S1`, `S2`; 500 to 2,000 employees), medium (`M1`, `M2`; 4,000 to 20,000 employees) and large (`L1`, `L2`; more than 50,000 employees). Companies labelled 1 were crawled with the first version of the crawler, which stops when its queue is exhausted, and those labelled 2 with a second version with a stricter stopping condition. The companies described in the paper are a network hardware company (S1), a software company (S2), a telecommunication services company (M1), a software and outsourcing company (M2), and two large multinational technology corporations (L1, L2). Note that the sizes of the published `S1` (320 nodes, 2,369 edges) and `S2` (165 nodes, 726 edges) networks are swapped relative to those reported in the paper. The employee job positions analyzed in the paper are not included in the data."""
tags = ['Social', 'Online', 'Unweighted']
url = 'https://data4goodlab.github.io/MichaelFire/#section3'
citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
icon_hash = '5a009c80ee01e9ab21acb3c1'
-ustream_license = None
+upstream_license = None
upstream_prefix = 'https://data4goodlab.github.io/MichaelFire/datasets'
+# The original host no longer serves the files; they are preserved in the
+# netzschleuder mirror
+orphan = True
files = [(f'organizations.zip:organizations/{d}Anonymized.csv', d, 'csv')
for d in ["S1", "S2", "M1", "M2", "L1", "L2"]]
Update copyright information 73a4f0d
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index cf0c844..a217a02 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -1,7 +1,7 @@
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
-# Copyright (C) 2020-2024 Tiago de Paula Peixoto <tiago@skewed.de>
+# Copyright (C) 2020-2026 Tiago de Paula Peixoto <tiago@skewed.de>
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
Update copyright information 3d288ea
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index 77b6444..cf0c844 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -1,7 +1,7 @@
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
-# Copyright (C) 2020-2023 Tiago de Paula Peixoto <tiago@skewed.de>
+# Copyright (C) 2020-2024 Tiago de Paula Peixoto <tiago@skewed.de>
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
Update copyright information 8d005ae
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index b30e6c0..77b6444 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -1,7 +1,7 @@
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
-# Copyright (C) 2021 Tiago de Paula Peixoto <tiago@skewed.de>
+# Copyright (C) 2020-2023 Tiago de Paula Peixoto <tiago@skewed.de>
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
Update upstream for https://data4goodlab.github.io/ 43c55e3
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index 02a1206..b30e6c0 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -22,11 +22,11 @@ title = "Within-organization Facebook friendships (2013)"
description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.[^icon]
[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
tags = ['Social', 'Online', 'Unweighted']
-url = 'https://homes.cs.washington.edu/~fire/#section3'
+url = 'https://data4goodlab.github.io/MichaelFire/#section3'
citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
icon_hash = '5a009c80ee01e9ab21acb3c1'
ustream_license = None
-upstream_prefix = 'https://www.ise.bgu.ac.il/faculty/fire/datasets'
+upstream_prefix = 'https://data4goodlab.github.io/MichaelFire/datasets'
files = [(f'organizations.zip:organizations/{d}Anonymized.csv', d, 'csv')
for d in ["S1", "S2", "M1", "M2", "L1", "L2"]]
facebook_organizations: fix description ce862c6
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index 0816533..02a1206 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -19,7 +19,7 @@
from .. import *
title = "Within-organization Facebook friendships (2013)"
-description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot. Node metadata gives listed job-type on the user's page.[^icon]
+description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.[^icon]
[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
tags = ['Social', 'Online', 'Unweighted']
url = 'https://homes.cs.washington.edu/~fire/#section3'
Remote metadata tag from dataset -- not available in zip file bcfa948
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index e2b1a67..0816533 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -21,7 +21,7 @@ from .. import *
title = "Within-organization Facebook friendships (2013)"
description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot. Node metadata gives listed job-type on the user's page.[^icon]
[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
-tags = ['Social', 'Online', 'Unweighted', 'Metadata']
+tags = ['Social', 'Online', 'Unweighted']
url = 'https://homes.cs.washington.edu/~fire/#section3'
citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
icon_hash = '5a009c80ee01e9ab21acb3c1'
Update copyright info db2efcc
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index f95293e..e2b1a67 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -1,7 +1,7 @@
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
-# Copyright (C) 2020 Tiago de Paula Peixoto <tiago@skewed.de>
+# Copyright (C) 2021 Tiago de Paula Peixoto <tiago@skewed.de>
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
Change license from GPLv3 to AGPLv3 d754be5
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index d9112eb..f95293e 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -3,18 +3,18 @@
#
# Copyright (C) 2020 Tiago de Paula Peixoto <tiago@skewed.de>
#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
+# This program is free software: you can redistribute it and/or modify it under
+# the terms of the GNU Affero General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-# GNU General Public License for more details.
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
+# details.
#
-# You should have received a copy of the GNU General Public License
-# along with this program. If not, see <http://www.gnu.org/licenses/>.
+# You should have received a copy of the GNU Affero General Public License along
+# with this program. If not, see <http://www.gnu.org/licenses/>.
from .. import *
Add explicit attribution to descriptions obtained from ICON 1645314
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
index 59a5618..d9112eb 100644
--- a/entries/facebook_organizations/__init__.py
+++ b/entries/facebook_organizations/__init__.py
@@ -19,7 +19,8 @@
from .. import *
title = "Within-organization Facebook friendships (2013)"
-description = "Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot. Node metadata gives listed job-type on the user's page."
+description = """Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot. Node metadata gives listed job-type on the user's page.[^icon]
+[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
tags = ['Social', 'Online', 'Unweighted', 'Metadata']
url = 'https://homes.cs.washington.edu/~fire/#section3'
citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
Initial commit cc85872
diff --git a/entries/facebook_organizations/__init__.py b/entries/facebook_organizations/__init__.py
new file mode 100644
index 0000000..59a5618
--- /dev/null
+++ b/entries/facebook_organizations/__init__.py
@@ -0,0 +1,50 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# Copyright (C) 2020 Tiago de Paula Peixoto <tiago@skewed.de>
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program. If not, see <http://www.gnu.org/licenses/>.
+
+from .. import *
+
+title = "Within-organization Facebook friendships (2013)"
+description = "Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot. Node metadata gives listed job-type on the user's page."
+tags = ['Social', 'Online', 'Unweighted', 'Metadata']
+url = 'https://homes.cs.washington.edu/~fire/#section3'
+citation = [('M. Fire, and R. Puzis, "Organization mining using online social networks." Networks and Spatial Economics 16(2), 545-578 (2016)', 'https://arxiv.org/abs/1303.3741')]
+icon_hash = '5a009c80ee01e9ab21acb3c1'
+ustream_license = None
+upstream_prefix = 'https://www.ise.bgu.ac.il/faculty/fire/datasets'
+files = [(f'organizations.zip:organizations/{d}Anonymized.csv', d, 'csv')
+ for d in ["S1", "S2", "M1", "M2", "L1", "L2"]]
+
+def fetch_upstream(force=False):
+ return fetch_upstream_files(__name__.split(".")[-1], upstream_prefix, files,
+ force)
+
+@cache_network()
+@coerce_props()
+@annotate()
+def parse(alts=None):
+ global files
+ name = __name__.split(".")[-1]
+ for fnames, alt, fmt in files:
+ if alts is not None and alt not in alts:
+ continue
+ if isinstance(fnames, str):
+ fnames = [fnames]
+ with ExitStack() as stack:
+ fs = [stack.enter_context(open_upstream_file(name, fn, "rb")) for fn in fnames]
+ g = parse_graph(fs, fmt, directed=False)
+ yield alt, g