diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 4ea9567..8af4799 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__init__.py
@@ -21,11 +21,11 @@ from .. import *
 title = "Networks with group metadata"
 description = """Six large networks with "ground-truth" group memberships of the nodes, assembled by J. Yang and J. Leskovec to evaluate community detection methods, and distributed by the Stanford Network Analysis Project (SNAP). All networks are undirected and unweighted. The groups of each network were turned into communities by taking each connected component of the subgraph induced by a group as a separate community and removing communities with fewer than 3 nodes; a node can belong to any number of communities, including none. For the networks, SNAP provides the largest connected component.
 
-- `livejournal`: users of the LiveJournal blogging platform, connected if they declared friendship. Communities are user-defined groups which other users can join (664,414 communities).
+- `livejournal`: users of the LiveJournal blogging platform, connected if they declared friendship. Communities are user-defined groups which other users can join (664,414 communities). SNAP does not name the source of these data; they are smaller than, and likely derived from, the 2006 LiveJournal crawl of the entry `livejournal` (see also the network `livejournal` of the entry `mislove_osn`).
 - `friendster`: users of the Friendster social networking site (before it relaunched as a gaming website), connected by friendships, with communities given by user-defined groups (1,620,991 communities). The network is the subgraph induced by the nodes that belong to at least one group or are connected to a node that belongs to at least one group. The data were obtained from the Internet Archive.
-- `orkut`: users of the Orkut social network, connected by friendships, with communities given by user-defined groups (15,301,901 communities). Data collected by A. Mislove et al.
-- `youtube`: users of the social network of the YouTube video-sharing website, connected by friendships, with communities given by user-defined groups (16,386 communities). Data collected by A. Mislove et al.
-- `dblp`: co-authorship network of the DBLP computer science bibliography, where two authors are connected if they published at least one paper together. Each publication venue (journal or conference) defines a community, formed by the authors who published there (13,477 communities).
+- `orkut`: users of the Orkut social network, connected by friendships, with communities given by user-defined groups (15,301,901 communities). Data collected by A. Mislove et al.; the directed version of the same crawl, with all 3,072,441 users, is the network `orkut` of the entry `mislove_osn`.
+- `youtube`: users of the social network of the YouTube video-sharing website, connected by friendships, with communities given by user-defined groups (16,386 communities). Data collected by A. Mislove et al.; this is the largest connected component of the undirected version of the network `youtube` of the entry `mislove_osn`.
+- `dblp`: co-authorship network of the DBLP computer science bibliography, where two authors are connected if they published at least one paper together; it is thus a one-mode projection of the bipartite network of authors and publications. Each publication venue (journal or conference) defines a community, formed by the authors who published there (13,477 communities).
 - `amazon`: products of the Amazon website, connected if they are frequently co-purchased, according to the "Customers Who Bought This Item Also Bought" feature, collected by crawling the website. Each product category defines a community (271,570 communities).
 
 The networks have the following properties:
@@ -42,7 +42,8 @@ url = ['https://snap.stanford.edu/data/com-Friendster.html',
 citation = [('J. Yang and J. Leskovec. "Defining and Evaluating Network Communities based on Ground-truth." ICDM, 2012.',
              "http://arxiv.org/abs/1205.6233")]
 icon_hash = ['56a85c8e26855e083a2f78b4',
-             '56a85c8e26855e083a2f7960']
+             '56a85c8e26855e083a2f7960',
+             '56a85c8e26855e083a2f78d0']
 upstream_license = None
 # Too large to process on an ordinary machine (see --skip-huge)
 huge = True

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index fc2a2e0..4ea9567 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__init__.py
@@ -44,6 +44,8 @@ citation = [('J. Yang and J. Leskovec. "Defining and Evaluating Network Communit
 icon_hash = ['56a85c8e26855e083a2f78b4',
              '56a85c8e26855e083a2f7960']
 upstream_license = None
+# Too large to process on an ordinary machine (see --skip-huge)
+huge = True
 upstream_prefix = 'https://snap.stanford.edu/data/bigdata/communities'
 files = [(("com-friendster.ungraph.txt.gz", "com-friendster.all.cmty.txt.gz"), "friendster", ("snap", dict(hashed=True))),
          (("com-lj.ungraph.txt.gz", "com-lj.all.cmty.txt.gz"), "livejournal", ("snap", dict(hashed=True))),

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 5296301..fc2a2e0 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__init__.py
@@ -19,28 +19,31 @@
 from .. import *
 
 title = "Networks with group metadata"
-description = """Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.[^icon]
+description = """Six large networks with "ground-truth" group memberships of the nodes, assembled by J. Yang and J. Leskovec to evaluate community detection methods, and distributed by the Stanford Network Analysis Project (SNAP). All networks are undirected and unweighted. The groups of each network were turned into communities by taking each connected component of the subgraph induced by a group as a separate community and removing communities with fewer than 3 nodes; a node can belong to any number of communities, including none. For the networks, SNAP provides the largest connected component.
 
-Friendster is an on-line gaming network. Before re-launching as a game website, Friendster was a social networking site where users can form friendship edge each other. Friendster social network also allows users form a group which other members can then join. We consider such user-defined groups as communities. For the social network, we take the induced subgraph of the nodes that either belong to at least one community or are connected to other nodes that belong to at least one community. This data is provided by The Web Archive Project, where the full graph is available. 
+- `livejournal`: users of the LiveJournal blogging platform, connected if they declared friendship. Communities are user-defined groups which other users can join (664,414 communities).
+- `friendster`: users of the Friendster social networking site (before it relaunched as a gaming website), connected by friendships, with communities given by user-defined groups (1,620,991 communities). The network is the subgraph induced by the nodes that belong to at least one group or are connected to a node that belongs to at least one group. The data were obtained from the Internet Archive.
+- `orkut`: users of the Orkut social network, connected by friendships, with communities given by user-defined groups (15,301,901 communities). Data collected by A. Mislove et al.
+- `youtube`: users of the social network of the YouTube video-sharing website, connected by friendships, with communities given by user-defined groups (16,386 communities). Data collected by A. Mislove et al.
+- `dblp`: co-authorship network of the DBLP computer science bibliography, where two authors are connected if they published at least one paper together. Each publication venue (journal or conference) defines a community, formed by the authors who published there (13,477 communities).
+- `amazon`: products of the Amazon website, connected if they are frequently co-purchased, according to the "Customers Who Bought This Item Also Bought" feature, collected by crawling the website. Each product category defines a community (271,570 communities).
 
-LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join.
+The networks have the following properties:
 
-Orkut is a free on-line social network where users form friendship each other. Orkut also allows users form a group which other members can then join.  This data is provided by Alan Mislove et al.
-
-Youtube is a video-sharing web site that includes a social network. In the Youtube social network, users form friendship each other and users can create groups which other users can join. This data is provided by Alan Mislove et al.
-
-The DBLP computer science bibliography provides a comprehensive list of research papers in computer science. We construct a co-authorship network where two authors are connected if they publish at least one paper together. Publication venue, e.g, journal or conference, defines an individual community; authors who published to a certain journal or conference form a community. 
-
-The Amazon Network was collected by crawling the website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each community. 
-
-[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project.
-"""
+- `name`: the node identifier in the SNAP files.
+- `communities`: the list of communities the node belongs to, each given by its index (starting from 0) in the list of all communities of the network (file `*.all.cmty.txt` of SNAP)."""
 tags = ["Online", "Social", "Collaboration", "Informational", "Relatedness", "Unweighted", "Metadata"]
-url = 'https://snap.stanford.edu/data/com-Friendster.html'
+url = ['https://snap.stanford.edu/data/com-Friendster.html',
+       'https://snap.stanford.edu/data/com-LiveJournal.html',
+       'https://snap.stanford.edu/data/com-Orkut.html',
+       'https://snap.stanford.edu/data/com-Youtube.html',
+       'https://snap.stanford.edu/data/com-DBLP.html',
+       'https://snap.stanford.edu/data/com-Amazon.html']
 citation = [('J. Yang and J. Leskovec. "Defining and Evaluating Network Communities based on Ground-truth." ICDM, 2012.',
              "http://arxiv.org/abs/1205.6233")]
-icon_hash = '56a85c8e26855e083a2f78b4'
-ustream_license = None
+icon_hash = ['56a85c8e26855e083a2f78b4',
+             '56a85c8e26855e083a2f7960']
+upstream_license = None
 upstream_prefix = 'https://snap.stanford.edu/data/bigdata/communities'
 files = [(("com-friendster.ungraph.txt.gz", "com-friendster.all.cmty.txt.gz"), "friendster", ("snap", dict(hashed=True))),
          (("com-lj.ungraph.txt.gz", "com-lj.all.cmty.txt.gz"), "livejournal", ("snap", dict(hashed=True))),

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 0a29bae..5296301 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__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

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index ec4e079..0a29bae 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__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

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index cf2bd02..ec4e079 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__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

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 4dd832f..cf2bd02 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__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

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 91da023..4dd832f 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__init__.py
@@ -37,7 +37,7 @@ The Amazon Network was collected by crawling the website. It is based on Custome
 """
 tags = ["Online", "Social", "Collaboration", "Informational", "Relatedness", "Unweighted", "Metadata"]
 url = 'https://snap.stanford.edu/data/com-Friendster.html'
-citation = [("J. Yang and J. Leskovec. Defining and Evaluating Network Communities based on Ground-truth. ICDM, 2012.",
+citation = [('J. Yang and J. Leskovec. "Defining and Evaluating Network Communities based on Ground-truth." ICDM, 2012.',
              "http://arxiv.org/abs/1205.6233")]
 icon_hash = '56a85c8e26855e083a2f78b4'
 ustream_license = None

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index caf89f0..91da023 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__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 *
 

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
index 8693113..caf89f0 100644
--- a/entries/soc_net_comms/__init__.py
+++ b/entries/soc_net_comms/__init__.py
@@ -19,7 +19,7 @@
 from .. import *
 
 title = "Networks with group metadata"
-description = """Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.
+description = """Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.[^icon]
 
 Friendster is an on-line gaming network. Before re-launching as a game website, Friendster was a social networking site where users can form friendship edge each other. Friendster social network also allows users form a group which other members can then join. We consider such user-defined groups as communities. For the social network, we take the induced subgraph of the nodes that either belong to at least one community or are connected to other nodes that belong to at least one community. This data is provided by The Web Archive Project, where the full graph is available. 
 
@@ -33,6 +33,7 @@ The DBLP computer science bibliography provides a comprehensive list of research
 
 The Amazon Network was collected by crawling the website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each community. 
 
+[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project.
 """
 tags = ["Online", "Social", "Collaboration", "Informational", "Relatedness", "Unweighted", "Metadata"]
 url = 'https://snap.stanford.edu/data/com-Friendster.html'

diff --git a/entries/soc_net_comms/__init__.py b/entries/soc_net_comms/__init__.py
new file mode 100644
index 0000000..8693113
--- /dev/null
+++ b/entries/soc_net_comms/__init__.py
@@ -0,0 +1,77 @@
+#! /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 = "Networks with group metadata"
+description = """Snapshots of LiveJournal, Friendster, Orkut, and YouTube online social networks, as well as DBLP and Amazon. Node metadata represents a post hoc definition of a 'community' that a node belongs to, derived from topical labels of the node or interest-based 'groups' that a node links to.
+
+Friendster is an on-line gaming network. Before re-launching as a game website, Friendster was a social networking site where users can form friendship edge each other. Friendster social network also allows users form a group which other members can then join. We consider such user-defined groups as communities. For the social network, we take the induced subgraph of the nodes that either belong to at least one community or are connected to other nodes that belong to at least one community. This data is provided by The Web Archive Project, where the full graph is available. 
+
+LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join.
+
+Orkut is a free on-line social network where users form friendship each other. Orkut also allows users form a group which other members can then join.  This data is provided by Alan Mislove et al.
+
+Youtube is a video-sharing web site that includes a social network. In the Youtube social network, users form friendship each other and users can create groups which other users can join. This data is provided by Alan Mislove et al.
+
+The DBLP computer science bibliography provides a comprehensive list of research papers in computer science. We construct a co-authorship network where two authors are connected if they publish at least one paper together. Publication venue, e.g, journal or conference, defines an individual community; authors who published to a certain journal or conference form a community. 
+
+The Amazon Network was collected by crawling the website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each community. 
+
+"""
+tags = ["Online", "Social", "Collaboration", "Informational", "Relatedness", "Unweighted", "Metadata"]
+url = 'https://snap.stanford.edu/data/com-Friendster.html'
+citation = [("J. Yang and J. Leskovec. Defining and Evaluating Network Communities based on Ground-truth. ICDM, 2012.",
+             "http://arxiv.org/abs/1205.6233")]
+icon_hash = '56a85c8e26855e083a2f78b4'
+ustream_license = None
+upstream_prefix = 'https://snap.stanford.edu/data/bigdata/communities'
+files = [(("com-friendster.ungraph.txt.gz", "com-friendster.all.cmty.txt.gz"), "friendster", ("snap", dict(hashed=True))),
+         (("com-lj.ungraph.txt.gz", "com-lj.all.cmty.txt.gz"), "livejournal", ("snap", dict(hashed=True))),
+         (("com-orkut.ungraph.txt.gz", "com-orkut.all.cmty.txt.gz"), "orkut", ("snap", dict(hashed=True))),
+         (("com-youtube.ungraph.txt.gz", "com-youtube.all.cmty.txt.gz"), "youtube", ("snap", dict(hashed=True))),
+         (("com-dblp.ungraph.txt.gz", "com-dblp.all.cmty.txt.gz"), "dblp", ("snap", dict(hashed=True))),
+         (("com-amazon.ungraph.txt.gz", "com-amazon.all.cmty.txt.gz"), "amazon", ("snap", dict(hashed=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[0]], fmt, directed=False)
+            vs = {g.vp.name[v] : v for v in g.vertices()}
+            g.vp.communities = c = g.new_vp("vector<int>")
+
+            with io.TextIOWrapper(fs[1], "utf8") as f:
+                for i, line in enumerate(f):
+                    for x in line.split():
+                        v = vs[int(x)]
+                        c[v].append(i)
+        yield alt, g