Weighted network

29 datasets whose data is: weighted network. Computed from the tables of each dataset's ECHO Data Package.

29 datasets.

Twitter Events — All Events (Cumulative) Analyzed

Multiplex networks of Twitter users during 5 events of 2013 and 2014 (Cannes2013, MLKing2013, MoscowAthletics2013, NYClimateMarch2014, ObamaInIsrael2013), as collected by Elisa Omodei, Manlio De Domenico and Alex Arenas and distributed by Netzschleuder. A node is a user, identified only by an anonymous number; a directed link from i to j means that user i retweeted, mentioned or replied to user j during the event, weighted by the number of such interactions. The package holds 3,238,746 nodes and 6,014,230 links (2,921,236 retweets, 2,383,605 mentions, 709,389 replies) of 5 networks; the column layer names the event, so a single event is a filter of each table.

5.2M records3.2M nodes5.2M edges2015

Twitter Multiplex Network — Obama in Israel 2013 Analyzed

The ObamaInIsrael2013 network of Twitter users from the twitter_events multiplex networks of Omodei, De Domenico and Arenas: 2,281,259 users (anonymous numbers) and 4,061,960 directed links among them (1,814,223 retweets, 1,661,074 mentions, 586,663 replies), each link weighted by the number of interactions of its type. 1,770,698 users are the source of at least one link and 871,917 the target of at least one.

4.1M records2.3M nodes3.4M edges2015

Amazon Product Rating Network Analyzed

Amazon ratings network, a network of the Koblenz Network Collection (KONECT) (User–product ratings). KONECT's file for it has the header `% bip multiweighted`, i.e. a bipartite network with weights marked `multiweighted`. This copy holds 5,838,041 edges between 2,146,057 user nodes and 1,230,915 product nodes, timed from 30 May 1996 to 28 May 2006.

3.4M records3.4M nodes5.7M edges2010

Twitter Multiplex Network — Cannes Film Festival 2013 Analyzed

The Cannes2013 network of Twitter users from the twitter_events multiplex networks of Omodei, De Domenico and Arenas: 438,537 users (anonymous numbers) and 991,854 directed links among them (496,982 retweets, 411,338 mentions, 83,534 replies), each link weighted by the number of interactions of its type. 386,194 users are the source of at least one link and 105,776 the target of at least one.

991.9K records438.5K nodes870.7K edges2015

News Sharing Networks Expose Information Polluters on Social Media Analyzed

Twitter news-sharing networks built from COVID-related tweets to detect low-credibility accounts, as published by Truong, Allen and Menczer (OSoMe) on Zenodo: a retweet network among users (434,963 edges), a bipartite network of users and the news domains they shared (613,608 edges) and a user-user co-sharing network (48,770,798 edges), 49,819,369 edges in all. Edges carry a weight and the credibility labels and scores of their ends: a label of 0 (high), 1 (low) or -1 (unknown) and, for accounts, a score. Users are Twitter user IDs.

404.6K records404.6K nodes435K edges2024

Twitter Multiplex Network — MLK Day 2013 Analyzed

The MLKing2013 network of Twitter users from the twitter_events multiplex networks of Omodei, De Domenico and Arenas: 327,707 users (anonymous numbers) and 396,671 directed links among them (291,318 retweets, 87,144 mentions, 18,209 replies), each link weighted by the number of interactions of its type. 294,541 users are the source of at least one link and 49,204 the target of at least one.

396.7K records327.7K nodes375.1K edges2015

Twitter Multiplex Network — NY Climate March 2014 Analyzed

The NYClimateMarch2014 network of Twitter users from the twitter_events multiplex networks of Omodei, De Domenico and Arenas: 102,439 users (anonymous numbers) and 353,495 directed links among them (213,754 retweets, 131,679 mentions, 8,062 replies), each link weighted by the number of interactions of its type. 94,824 users are the source of at least one link and 18,184 the target of at least one.

353.5K records102.4K nodes333.6K edges2015

Libimseti.cz Dating Network Analyzed

Libimseti.cz network, a network of the Koblenz Network Collection (KONECT) (User–user profile rating). KONECT's file for it has the header `% asym weighted`, i.e. a directed network with weights marked `weighted`. This copy holds 17,359,346 links among 220,970 nodes.

221K records221K nodes17.4M edges2012

Twitter Multiplex Network — Moscow Athletics 2013 Analyzed

The MoscowAthletics2013 network of Twitter users from the twitter_events multiplex networks of Omodei, De Domenico and Arenas: 88,804 users (anonymous numbers) and 210,250 directed links among them (104,959 retweets, 92,370 mentions, 12,921 replies), each link weighted by the number of interactions of its type. 80,492 users are the source of at least one link and 18,683 the target of at least one.

210.2K records88.8K nodes190.5K edges2015

Jester Joke Rating Network Analyzed

Jester 100 network, a network of the Koblenz Network Collection (KONECT) (User–joke ratings). KONECT's file for it has the header `% bip weighted`, i.e. a bipartite network with weights marked `weighted`. This copy holds 4,136,360 edges between 73,421 user nodes and 100 joke nodes.

73.5K records73.5K nodes4.1M edges2001

Higgs Boson Twitter Reply Network Analyzed

The reply network of the Higgs Twitter dataset: Twitter activity around the announcement of a new particle with the features of the Higgs boson on 4 July 2012, covering messages posted from 1 to 7 July 2012. A directed, weighted link means that one account replied to another. This copy holds 32,523 reply links among 38,918 accounts.

38.9K records38.9K nodes32.5K edges2013

Escorts Review Network Analyzed

Sexual escorts network, a network of the Koblenz Network Collection (KONECT) (Buyer–escort ratings). KONECT's file for it has the header `% bip multiweighted`, i.e. a bipartite network with weights marked `multiweighted`. This copy holds 50,632 edges between 10,106 buyer nodes and 6,624 escort nodes, timed from 31 August 2002 to 10 October 2008.

16.7K records16.7K nodes39K edges2010

YouTube Social Network v1 Analyzed

A multi-dimensional YouTube network crawled in December 2008 by Lei Tang, Xufei Wang and Huan Liu: between 15,088 active users, five kinds of interaction (the contact network, and the numbers of shared friends, subscriptions, subscribers and favourite videos), each with an intensity. This copy holds all five as layers of one table, 13,628,895 rows among 14,992 users, plus the list of 15,088 users. The networks are symmetric and each pair is stored once.

15.1K records15.1K nodes13.6M edges2009

Fedivertex: mastodon active_user Analyzed

The Mastodon active-user graph of the Fediverse as crawled by the Fedivertex project: 24 snapshots taken between 5 February 2025 and 15 July 2025. In the upstream documentation this is an active-user graph: for each instance the 10,000 most recently active users are considered; for each of them, the accounts they follow are listed and 1 is added to the edge from X to Y, where X is the instance of the user and Y the instance of the followed account, so the weight of the edge from X to Y encodes how much of the content seen on X is generated on Y; the graph is directed and contains self-loops. The package holds 12,811,937 links, each with the snapshot it was seen in, and 160,468 instance records (8,135 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`version`, `users`, `statuses`, `languages`, `registration_enabled`). A snapshot lists between 6,185 and 7,142 instances and between 490,701 and 560,299 links. Edge weights are whole numbers from 1 to 548,292 (15,034 distinct values). Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared directed. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Mastodon active-user series only.

8.1K records8.1K nodes647.8K edges2026

Advogato Trust Network Analyzed

Trust certifications among members of Advogato, an online community of free-software developers launched in 1999, where members certified one another at one of four levels: Observer, Apprentice, Journeyer or Master. This copy holds 51,332 certifications among 6,551 members. Each is a directed link from the member who gave the certification to the member who received it, weighted 0.6 (Apprentice), 0.8 (Journeyer) or 1.0 (Master); Observer certifications, which express no trust, do not appear. The data were collected by the Trustlet project (Massa, Salvetti and Tomasoni) from the certification graph that Advogato published, and this file is the one Network Repository distributes as soc-advogato, in KONECT's file format. It includes 3,995 self-certifications, and 15 certifications are listed twice.

6.6K records6.6K nodes51.3K edges2009

Bitcoin OTC Web of Trust Network Analyzed

A who-trusts-whom network of people trading Bitcoin on the Bitcoin OTC platform, collected by Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian and Christos Faloutsos and distributed by SNAP. Each of the 35,592 rows is a directed rating: a member (the source) rated another member (the target) from -10 (total distrust) to +10 (total trust) in whole steps, at a time given in seconds since the Unix epoch. The 35,592 ratings are among 5,881 members, who are identified only by numbers; they were made between 8 November 2010 and 25 January 2016. 32,029 ratings are positive (90%), 3,563 negative.

5.9K records5.9K nodes35.6K edges2016

Bitcoin Alpha Web of Trust Network Analyzed

A who-trusts-whom network of people trading Bitcoin on the Bitcoin Alpha platform, collected by Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian and Christos Faloutsos and distributed by SNAP. Each of the 24,186 rows is a directed rating: a member (the source) rated another member (the target) from -10 (total distrust) to +10 (total trust) in whole steps, at a time given in seconds since the Unix epoch. The 24,186 ratings are among 3,783 members, who are identified only by numbers; they were made between 8 November 2010 and 22 January 2016. 22,650 ratings are positive (94%), 1,536 negative.

3.8K records3.8K nodes24.2K edges2016

Facebook Social Connectedness Index Analyzed

The Facebook Social Connectedness Index (SCI) release of January 2026, published on the Humanitarian Data Exchange by Meta's AI for Good programme: for pairs of geographic units, an index of the relative probability that a Facebook user in one unit is friends with a user in the other. This copy holds 3,085,880,396 rows in 19 layers: pairs of countries, of regions at several levels (GADM levels 1 and 2, geoBoundaries ADM1 and ADM2, European NUTS levels 1 to 3, US counties and US ZIP code tabulation areas) and of a region with a country. The SCI is scaled within each file to lie between 1 and 1,000,000,000.

3.2K records3.2K nodes5.1M edges2026

Fedivertex: misskey active_user Analyzed

The Misskey active-user graph of the Fediverse as crawled by the Fedivertex project: 24 snapshots taken between 3 February 2025 and 15 July 2025. In the upstream documentation this is an active-user graph: for each instance the 10,000 most recently active users are considered; for each of them, the accounts they follow are listed and 1 is added to the edge from X to Y, where X is the instance of the user and Y the instance of the followed account, so the weight of the edge from X to Y encodes how much of the content seen on X is generated on Y; the graph is directed and contains self-loops. The package holds 274,652 links, each with the snapshot it was seen in, and 21,425 instance records (1,274 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`users_count`, `posts_count`, `languages`, `description_language`). A snapshot lists between 841 and 982 instances and between 9,999 and 12,894 links. Edge weights are whole numbers from 1 to 872,529 (2,619 distinct values). Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared directed. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Misskey active-user series only.

1.3K records1.3K nodes19.5K edges2026

DNC Email Co-Recipient Network Analyzed

DNC emails co-recipients network, a network of the Koblenz Network Collection (KONECT) (User–user co-recipientships). KONECT's file for it has the header `% sym positive`, i.e. a undirected network with weights marked `positive`. This copy holds 12,085 links among 906 nodes.

906 records906 nodes10.4K edges2013

Twitter Multiple Network Views — international rugby union (UCD) Analyzed

The rugby dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 854 Twitter accounts, collected in 2012 from curated Twitter lists. International Rugby Union players, clubs and organisations active on Twitter; the ground-truth communities correspond to 15 countries and overlap, because players can be assigned to both their home nation and the nation in which they play club rugby. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 35,757 links; mentions: 33,832 account pairs; retweets: 12,472 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 955,307 entries over 35,352 words; Twitter lists the accounts appear on: 77,023 entries over 5,900 lists; merged list names: 74,589 entries over 2,840 words). The package also holds the 15 ground-truth communities (1,051 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

854 records854 nodes44.5K edges2013

Fedivertex: pleroma active_user Analyzed

The Pleroma active-user graph of the Fediverse as crawled by the Fedivertex project: 24 snapshots taken between 3 February 2025 and 15 July 2025. In the upstream documentation this is an active-user graph: for each instance the 10,000 most recently active users are considered; for each of them, the accounts they follow are listed and 1 is added to the edge from X to Y, where X is the instance of the user and Y the instance of the followed account, so the weight of the edge from X to Y encodes how much of the content seen on X is generated on Y; the graph is directed and contains self-loops. The package holds 30,207 links, each with the snapshot it was seen in, and 14,538 instance records (821 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`version`, `users`, `statuses`, `languages`, `registration_enabled`). A snapshot lists between 540 and 709 instances and between 1,161 and 1,365 links. Edge weights are whole numbers from 1 to 14,259 (209 distinct values). Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared directed. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Pleroma active-user series only.

821 records821 nodes1.8K edges2026

Fedivertex: lemmy federation_with_blocks Analyzed

The Lemmy federation-with-blocks graph of the Fediverse as crawled by the Fedivertex project: 62 snapshots taken between 3 February 2025 and 13 April 2026. In the upstream documentation this is a federation graph completed with negative edges when instance X blocks instance Y; the graph is directed. The package holds 5,641,052 links, each with the snapshot it was seen in, and 22,621 instance records (779 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`version`, `users`, `posts`, `comments`, `communities`, `users_active_day`, `users_active_week`, `users_active_month`, `users_active_half_year`, `captcha_enabled`, `require_email_verification`, `description_language`, `error`). A snapshot lists between 291 and 439 instances and between 54,200 and 141,669 links. Edge weights are +1 (5,620,855 links) or -1 (20,197 links, the blocks), and the `sign` column repeats them as integers. Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared directed. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Lemmy federation-with-blocks series only.

779 records779 nodes289.5K edges2026

Fedivertex: lemmy cross_instance Analyzed

The Lemmy cross-instance graph of the Fediverse as crawled by the Fedivertex project: 24 snapshots taken between 3 February 2025 and 14 July 2025. In the upstream documentation this is a cross-instance graph: two instances are connected as soon as there exists a pair of users who published a message in the same thread, possibly on a third instance; an undirected graph, less sparse than the intra-instance graph. The package holds 99,867 links, each with the snapshot it was seen in, and 9,878 instance records (557 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`version`, `users`, `posts`, `comments`, `communities`, `users_active_day`, `users_active_week`, `users_active_month`, `users_active_half_year`, `captcha_enabled`, `require_email_verification`, `description_language`). A snapshot lists between 362 and 439 instances and between 3,244 and 5,246 links. Edge weights are whole numbers from 1 to 1,719 (470 distinct values). Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared undirected. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Lemmy cross-instance series only.

557 records557 nodes4.7K edges2026

Fedivertex: lemmy intra_instance Analyzed

The Lemmy intra-instance graph of the Fediverse as crawled by the Fedivertex project: 24 snapshots taken between 3 February 2025 and 14 July 2025. In the upstream documentation this is an intra-instance graph: instance X is linked to instance Y if a user of X has published a message on instance Y; the graph is directed and very sparse. The package holds 24,692 links, each with the snapshot it was seen in, and 9,878 instance records (557 distinct instances; one record per instance per snapshot) with the attributes upstream recorded (`version`, `users`, `posts`, `comments`, `communities`, `users_active_day`, `users_active_week`, `users_active_month`, `users_active_half_year`, `captcha_enabled`, `require_email_verification`, `description_language`). A snapshot lists between 362 and 439 instances and between 797 and 1,133 links. Edge weights are whole numbers from 1 to 86,402 (1,102 distinct values). Instance names are written with "[DOT]" in place of each dot, exactly as upstream published them. The graph is declared directed. Fedivertex covers 13 such graph series (seven Fediverse software systems and several kinds of relation); this package is the Lemmy intra-instance series only.

557 records557 nodes2.4K edges2026

Twitter Multiple Network Views — London 2012 Olympics (UCD) Analyzed

The olympics dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 464 Twitter accounts, collected in 2012 from curated Twitter lists. Athletes and organisations involved in the London 2012 Summer Olympics; the ground-truth communities correspond to 28 different sports. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 10,642 links; mentions: 9,615 account pairs; retweets: 3,740 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 515,393 entries over 18,455 words; Twitter lists the accounts appear on: 46,478 entries over 4,942 lists; merged list names: 64,613 entries over 3,097 words). The package also holds the 28 ground-truth communities (464 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

464 records464 nodes13.6K edges2013

Twitter Multiple Network Views — UK politics (UCD) Analyzed

The politics-uk dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 419 Twitter accounts, collected in 2012 from curated Twitter lists. Members of Parliament of the United Kingdom; the ground truth consists of five groups corresponding to political parties. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 27,340 links; mentions: 14,788 account pairs; retweets: 7,270 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 608,614 entries over 19,868 words; Twitter lists the accounts appear on: 61,064 entries over 3,614 lists; merged list names: 78,364 entries over 2,879 words). The package also holds the 5 ground-truth communities (419 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

419 records419 nodes32.2K edges2013

Twitter Multiple Network Views — Irish politics (UCD) Analyzed

The politics-ie dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 348 Twitter accounts, collected in 2012 from curated Twitter lists. Irish politicians and political organisations, assigned to seven disjoint ground-truth groups according to their affiliation. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 16,856 links; mentions: 6,318 account pairs; retweets: 3,019 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 350,175 entries over 14,377 words; Twitter lists the accounts appear on: 15,225 entries over 1,047 lists; merged list names: 25,651 entries over 1,051 words). The package also holds the 7 ground-truth communities (348 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

348 records348 nodes18.5K edges2013

Twitter Multiple Network Views — Premier League football (UCD) Analyzed

The football dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 248 Twitter accounts, collected in 2012 from curated Twitter lists. A collection of English Premier League football players and clubs active on Twitter; the ground-truth communities correspond to the 20 individual clubs of the league. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 3,819 links; mentions: 3,312 account pairs; retweets: 1,350 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 224,890 entries over 11,806 words; Twitter lists the accounts appear on: 64,529 entries over 7,814 lists; merged list names: 58,528 entries over 3,601 words). The package also holds the 20 ground-truth communities (248 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

248 records248 nodes4.7K edges2013