diff --git a/entries/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index ff63a74..c2d7bb1 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__init__.py
@@ -19,13 +19,25 @@
 from .. import *
 
 title = "Twitter, Higgs boson (2012)"
-description = """Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012.  Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.[^icon]
-[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
+description = r"""Networks of Twitter users involved in the spreading of the news of the discovery of a new particle with the features of the Higgs boson, announced at CERN on 4 July 2012, assembled by M. De Domenico, A. Lima, P. Mougel and M. Musolesi. The data comprise the messages posted on Twitter about the discovery between 1 and 7 July 2012, collected using the keywords "lhc", "cern", "boson" and "higgs", and the follower relationships among the users who posted them. Nodes are users, with anonymized identifiers. All networks are directed, and record the observed actions, i.e. who follows, retweets, replies to, or mentions whom.
+
+- `social`: follower network, where an edge $i \to j$ indicates that user $i$ follows user $j$.
+- `retweet`: an edge $i \to j$ indicates that user $i$ retweeted user $j$.
+- `reply`: an edge $i \to j$ indicates that user $i$ replied to user $j$.
+- `mention`: an edge $i \to j$ indicates that user $i$ mentioned user $j$.
+- `activity`: temporal network of all retweets, replies and mentions, with one edge per interaction.
+
+The networks have the following properties:
+
+- `name`: the anonymized user identifier, consistent across the networks.
+- `weight` (`retweet`, `reply`, `mention`): the number of interactions from user $i$ to user $j$.
+- `timestamp` (`activity`): the time of the interaction, as a UNIX timestamp in seconds.
+- `interaction` (`activity`): the type of interaction: `RT` (retweet), `MT` (mention) or `RE` (reply)."""
 tags = ['Social', 'Online', 'Weighted', 'Multilayer']
 url = 'http://snap.stanford.edu/data/higgs-twitter.html'
 citation = [('M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952', 'https://doi.org/10.1038/srep02980')]
 icon_hash = '56a85c8e26855e083a2f78c2'
-ustream_license = None
+upstream_license = None
 upstream_prefix = 'http://snap.stanford.edu/data'
 files = [('higgs-social_network.edgelist.gz', 'social', None),
          ('higgs-retweet_network.edgelist.gz', 'retweet', None),

diff --git a/entries/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index ad8acee..ff63a74 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__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/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index 0d3c523..ad8acee 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__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/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index 7aba264..0d3c523 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__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/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index eec362c..7aba264 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__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/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index fd56fa7..eec362c 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__init__.py
@@ -23,7 +23,7 @@ description = """Data on tweets related to the announcement of the discovery of
 [^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
 tags = ['Social', 'Online', 'Weighted', 'Multilayer']
 url = 'http://snap.stanford.edu/data/higgs-twitter.html'
-citation = [('M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952', 'http://www.nature.com/articles/srep02980')]
+citation = [('M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952', 'https://doi.org/10.1038/srep02980')]
 icon_hash = '56a85c8e26855e083a2f78c2'
 ustream_license = None
 upstream_prefix = 'http://snap.stanford.edu/data'

diff --git a/entries/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index ca6abb3..fd56fa7 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__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/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
index 47f3788..ca6abb3 100644
--- a/entries/twitter_higgs/__init__.py
+++ b/entries/twitter_higgs/__init__.py
@@ -19,7 +19,8 @@
 from .. import *
 
 title = "Twitter, Higgs boson (2012)"
-description = "Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012.  Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions."
+description = """Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012.  Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.[^icon]
+[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
 tags = ['Social', 'Online', 'Weighted', 'Multilayer']
 url = 'http://snap.stanford.edu/data/higgs-twitter.html'
 citation = [('M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952', 'http://www.nature.com/articles/srep02980')]

diff --git a/entries/twitter_higgs/__init__.py b/entries/twitter_higgs/__init__.py
new file mode 100644
index 0000000..47f3788
--- /dev/null
+++ b/entries/twitter_higgs/__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 = "Twitter, Higgs boson (2012)"
+description = "Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012.  Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions."
+tags = ['Social', 'Online', 'Weighted', 'Multilayer']
+url = 'http://snap.stanford.edu/data/higgs-twitter.html'
+citation = [('M. De Domenico, A. Lima, P. Mougel, M. Musolesi, "The Anatomy of a Scientific Rumor." Scientific Reports 3, 2980 (2013). arxiv:1301.2952', 'http://www.nature.com/articles/srep02980')]
+icon_hash = '56a85c8e26855e083a2f78c2'
+ustream_license = None
+upstream_prefix = 'http://snap.stanford.edu/data'
+files = [('higgs-social_network.edgelist.gz', 'social', None),
+         ('higgs-retweet_network.edgelist.gz', 'retweet', None),
+         ('higgs-reply_network.edgelist.gz', 'reply', None),
+         ('higgs-mention_network.edgelist.gz', 'mention', None),
+         ('higgs-activity_time.txt.gz', 'activity', None)]
+
+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]
+            def get_lines():
+                with io.TextIOWrapper(fs[0], "utf8") as ft:
+                    for line in ft:
+                        if line.startswith("#"):
+                            continue
+                        yield [int(x) for x in line.split()]
+            g = Graph(directed=True)
+            if alt == "social":
+                eprops = []
+            elif alt == "activity":
+                g.ep.timestamp = g.new_ep("int64_t")
+                g.ep.interaction = g.new_ep("string")
+                eprops = [g.ep.timestamp, g.ep.interaction]
+                def get_lines():
+                    with io.TextIOWrapper(fs[0], "utf8") as ft:
+                        for line in ft:
+                            if line.startswith("#"):
+                                continue
+                            vals = line.split()
+                            yield [int(x) for x in vals[:2]] + vals[2:]
+            else:
+                g.ep.weight = g.new_ep("int")
+                eprops = [g.ep.weight]
+            g.vp.name = g.add_edge_list(get_lines(), hashed=True,
+                                        hash_type="int", eprops=eprops)
+        yield alt, g