History of inploid
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] Fix parse bugs and improve descriptions and metadata 6bb6851
- parse fixes from the review of the descriptions, e.g. us_patents (directed), celegans_2019 (synapse direction), ecoli_transcription and yeast_transcription (regulator to target), bitcoin (direction, phantom node), ego_social (Google+ features and circles), scotus_majority, arxiv_authors and social_location (as in SNAP), caida_as, dnc, dom, mist, reuters and bibsonomy (names on the right nodes), uci_zoo - every description now states explicitly what the nodes and edges represent; corrected titles, years, tags, citations and licences - the "Hypergraph" tag is removed; very large entries are marked `huge = True` (see --skip-huge) - ICON ids of partial duplicates added (hiv_transmission, congress_bills, openflights, dutch_school)
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
index 5368a32..b0c3413 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__init__.py
@@ -19,7 +19,7 @@
from .. import *
title = "Inploid: an online social Q&A platform"
-description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
+description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Nodes are users, and a directed edge $(i, j)$ means that user $i$ follows user $j$ (according to the source, the followee exerts influence upon the follower). Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
tags = ['Online', 'Social', 'Directed', 'Unweighted']
url = 'https://furkangursoy.github.io/datasets/#inploid'
citation = [('F. Gursoy and D. Gunnec, "Influence maximization in social networks under deterministic linear threshold model", Knowledge-Based Systems (2018)', 'https://doi.org/10.1016/j.knosys.2018.07.040')]
Update copyright information 73a4f0d
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
index 78b8f73..5368a32 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__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/inploid/__init__.py b/entries/inploid/__init__.py
index 6124954..78b8f73 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__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/inploid/__init__.py b/entries/inploid/__init__.py
index 61973fd..6124954 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__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 copyright info db2efcc
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
index 0faaeed..61973fd 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__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
Update citations to use DOIs e878874
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
index ec29e00..0faaeed 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__init__.py
@@ -22,7 +22,7 @@ title = "Inploid: an online social Q&A platform"
description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
tags = ['Online', 'Social', 'Directed', 'Unweighted']
url = 'https://furkangursoy.github.io/datasets/#inploid'
-citation = [('F. Gursoy and D. Gunnec, Influence maximization in social networks under deterministic linear threshold model, Knowledge-Based Systems (2018)', 'https://doi.org/10.1016/j.knosys.2018.07.040')]
+citation = [('F. Gursoy and D. Gunnec, "Influence maximization in social networks under deterministic linear threshold model", Knowledge-Based Systems (2018)', 'https://doi.org/10.1016/j.knosys.2018.07.040')]
icon_hash = None
upstream_license = ("CC BY 4.0", "https://creativecommons.org/licenses/by/4.0/")
upstream_prefix = 'https://github.com/furkangursoy/datasets/raw/master'
Update __init__.py for inploid with correct number of nodes. 7ef4fec
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
index ba6f956..ec29e00 100644
--- a/entries/inploid/__init__.py
+++ b/entries/inploid/__init__.py
@@ -19,7 +19,7 @@
from .. import *
title = "Inploid: an online social Q&A platform"
-description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,750 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
+description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
tags = ['Online', 'Social', 'Directed', 'Unweighted']
url = 'https://furkangursoy.github.io/datasets/#inploid'
citation = [('F. Gursoy and D. Gunnec, Influence maximization in social networks under deterministic linear threshold model, Knowledge-Based Systems (2018)', 'https://doi.org/10.1016/j.knosys.2018.07.040')]
Add inploid 3aad40b
This fixes issue #1.
diff --git a/entries/inploid/__init__.py b/entries/inploid/__init__.py
new file mode 100644
index 0000000..ba6f956
--- /dev/null
+++ b/entries/inploid/__init__.py
@@ -0,0 +1,49 @@
+#! /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 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 Affero General Public License for more
+# details.
+#
+# 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 *
+
+title = "Inploid: an online social Q&A platform"
+description = """Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,750 nodes and 57,276 directed links between them. In addition, for each user, reputability scores and top five topics are included in the dataset. Usernames and topics are anonymized."""
+tags = ['Online', 'Social', 'Directed', 'Unweighted']
+url = 'https://furkangursoy.github.io/datasets/#inploid'
+citation = [('F. Gursoy and D. Gunnec, Influence maximization in social networks under deterministic linear threshold model, Knowledge-Based Systems (2018)', 'https://doi.org/10.1016/j.knosys.2018.07.040')]
+icon_hash = None
+upstream_license = ("CC BY 4.0", "https://creativecommons.org/licenses/by/4.0/")
+upstream_prefix = 'https://github.com/furkangursoy/datasets/raw/master'
+files = [(('inploid.zip:inploid/links.csv', 'inploid.zip:inploid/nodes.csv'), None , ("csv", dict(vprops=dict(fmt="csv", add_missing=True))))]
+
+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=True)
+ yield alt, g