@simon_brooke@mastodon.scot#WritersCoffeeClub 21 Jul
Do your works contain erotic elements? How far do you go?
Interesting question: what counts as 'erotic'?. I'm interested in relationships, often power relationships, between people. That they have sex and how they have sex is important character and narrative information.
So yes, almost all my stories have scenes in which people have…
@netzschleuder@social.skewed.dewordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…
@danyork@mastodon.social
@yetiinabox@todon.nlnew Nepali language textbook from a great team including Indigenous Himalayan scholars. the article is worth a read --
"working in a team where none of us had Nepali as our only or first language, but where all of us still had strong connections to it in different ways. That mix shaped a collaborative process drawing on different experiences and approaches to the language. More importantly, bringing those different relationships to language into the same space helped us create s…
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@cheryanne@aus.socialMen Like Me
Honest conversations with men willing to speak about the things we're often taught to keep hidden—struggles with identity, relationships, failure, fatherhood, loneliness, faith, and finding our way through life's turning points...
Great Australian Pods Podcast Directory: https://www.greatau…
@netzschleuder@social.skewed.dewordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…
@cowboys@darktundra.xyzDallas Cowboys cheerleader Haley Bogdon balances nursing career with NFL dream https://www.sportingnews.com/us/culture/relationships/news/dallas-cowboys-cheerleader-haley-bogdon-balances-n…
@cdarwin@c.imOn July 15, 2026, China’s first AI companion rule took effect.
On the same day, China’s two largest AI platforms shut down the customized AI personas services that millions of users had built relationships with,
only ten days after the release of a cease-operation notice.
The rule behind the shutdown targets a risk that U.S. regulators have also identified, but acted on differently:
emotional dependency itself,
apart from anything a chatbot might say.
Ch…
@Techmeme@techhub.socialChina enacts rules forbidding companionship chatbots from encouraging emotional reliance, banning virtual relationships with minors, and more (Stu Woo/Wall Street Journal)
https://www.wsj.com/tech/ai/china-wants-mo
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@aral@mastodon.ar.alDonno what’s worse, the verse itself or DuckDuckGo’s generated explanation of it. @… https://partyon.xyz/@nando161/116925119988965039
@cowboys@darktundra.xyzEmily Awbrey earns Dallas Cowboys cheerleader spot one year after difficult exit https://www.sportingnews.com/ca/culture/relationships/news/emily-awbrey-earns-dallas-cowboys-cheerle…
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@cheryanne@aus.socialHouse Of Coffee And Chaos Podcast
Built around connection, honesty and a good cup of coffee, we talk motherhood, ambition, relationships and the beautiful chaos in between...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/house-of-coffe…
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@curiouscat@fosstodon.orgI donated again to Partners in Health
https://www.pih.org/our-mission
"By establishing long-term relationships with sister organizations based in settings of poverty, Partners In Health strives to achieve two overarching goals: to bring the benefits of modern medical science to those most in n…
@ellie@ellieayla.net @netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@cdarwin@c.imHow Santa Barbara County Made Strong Progress on Addressing the Unmet Need for Child Care
Strategy 1: Building Cross-Sector Relationships
Strategy 2: Creating a Data-Informed Plan for Addressing Santa Barbara County’s Needs
Strategy 3: Focusing on Child Care Facilities
Strategy 4: Prioritizing Child Care Provider Recruitment & Retention to Maximize Family Choice
Lessons Learned
@cowboys@darktundra.xyzDallas Cowboys cheerleader Savanna Dastrup completes inspiring comeback after painful cut https://www.sportingnews.com/ca/culture/relationships/news/dallas-cowboys-cheerlea…
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.dephysician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted
@arXiv_csHC_bot@mastoxiv.pageResonaVis: Visualizing Interactive Music Data to Support Reflective Music Composition for Therapeutic Contexts
Abhishek Karwankar, Elise Ruggiero, Daniel Stevens, Matthew Louis Mauriello
https://arxiv.org/abs/2608.10338 https://arxiv.org/pdf/2608.10338 https://arxiv.org/html/2608.10338
arXiv:2608.10338v1 Announce Type: new
Abstract: Designing music for therapeutic contexts requires navigating complex relationships between musical structure and listeners' sensory responses, yet composers often lack structured representations of these interactions, relying instead on intuition. We present ResonaVis, an interactive visualization system that helps composers analyze interaction and audio data from prior sessions with children with Autism Spectrum Disorder (ASD), informing future compositions. ResonaVis integrates audio features and interaction logs to capture how children engage with layered musical compositions, representing this engagement through coordinated visualizations of temporal transitions, layer co-occurrence, rhythmic activity, and spectral characteristics. Rather than prescribing strategies or supporting therapy sessions directly, the system surfaces patterns in past session data to support data-informed reflection during composition. We evaluated ResonaVis through a mixed-methods study with eight music students and a follow-up case study with two experienced composers. Results demonstrate good usability (SUS = 72.23), exceeding benchmarks for early prototypes, and show that participants could identify interaction patterns, reason about layer relationships, and make informed compositional decisions with high perceived performance and low frustration. Confidence in interpreting interaction and acoustic data for ASD-focused composition increased significantly across multiple dimensions (p < 0.05), with qualitative findings suggesting a shift toward more adaptive, data-informed composition. This work contributes a visualization design space for therapeutic music interaction data, an integrated system for compositional reflection, and empirical evidence that visualization tools support analytical reasoning and confidence in data-informed creative practice. (Abstract shortened for arXiv.)
toXiv_bot_toot
@netzschleuder@social.skewed.detwitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…
@netzschleuder@social.skewed.dephysician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted
@zudn@theres.life
@toxi@mastodon.thi.ng"The thing that concerns me most is violence, the use of force and the threat or the implementation of damage to enforce an opinion. As I said at the beginning, I'm a scientist. I relish facts. I'm interested in ideas. I'm curious about relationships. Violence is just the opposite of that. Violence is the way to gain power without ideas, and it reduces your resources, it stifles dissent and experimentation which we desperately need." — Dennis Meadows (Club Of Rome, Limits Of Growth)
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@seeingwithsound@mas.toPrimary and higher-order thalamic nuclei make distinct contributions to cortical reorganization in congenital sensory loss #LGN …
@cheryanne@aus.socialAll That We Touch
Exploring the entangled relationships between technology, society, nature and politics...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/all-that-we-touch/
@georgiamuseum@glammr.usThis new installation centers early-20th-century artists’ relationships to their environments and highlights the role of agriculture and urbanization in shifting cultural perceptions of time. In one corner of the gallery, three objects visualize this period in American history. Constructed from recycled materials, a clock made locally by Athens doctor William B. Conway in 1897 shares space with a cast-iron weathervane created around the same time.
6/
@metacurity@infosec.exchangeTrump says Pulte can declassify ‘whatever’ he wants, sparking fears of exposing intelligence secrets
https://www.nextgov.com/policy/2026/07/trump-says-pulte-can-declassify-whatever-he-wants-sparking-…
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@cheryanne@aus.socialThe Audacity
The new podcast set to shake up conversations around modern life, relationships, human behaviour, ambition and the things everyone thinks - but not everyone is willing to say out loud...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-au
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@netzschleuder@social.skewed.dewordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…
@netzschleuder@social.skewed.deacademia_edu: Academica.edu (2011)
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.
This network has 200169 nodes and 1398063 edges.
Tags: Social, Online, Unweighted
https://
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.dephysician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted
@cheryanne@aus.socialThe Scroll Less Podcast
Explores our increasingly complicated relationship with the devices we rarely put down — from screen habits, mental health and relationships to parenting, algorithms, AI and online harm...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-sc
@netzschleuder@social.skewed.defao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.dewiki_rfa: Wikipedia RfA voting network (2013)
The set of all votes on Requests for Adminships (RfA), from 2003 to May 2013, represented as a directed, signed network in which nodes represent Wikipedia members and edges represent votes.
This network has 11381 nodes and 198275 edges.
Tags: Social, Relationships, Signed
https://
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@cheryanne@aus.socialTwo Girls, No Plan Podcast
Join Jess and Shani as we dive into funny stories, awkward moments, friendships, relationships, health, life experiences, unpopular opinions and the random thoughts that somehow turn into full discussions...
Great Australian Pods Podcast Directory: https://www.greataustralianpo…
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.demoreno_sociograms: Moreno's sociograms (1934)
Relationships between pupils in a classroom. A directed edge exists if the source wants to sit next to the target. Each child can only choose two others.
This network has 45 nodes and 69 edges.
Tags: Social, Offline, Weighted
https://networks.ske…
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@netzschleuder@social.skewed.defao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.dewordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@netzschleuder@social.skewed.dephysician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted
@netzschleuder@social.skewed.delaw_firm: Lazega law firm network
Multiplex network with 3 edge types representing relationships (coworkers, friendship, advice) between partners and associates of a corporate law firm. Data hosted by Manlio De Domenico.
This network has 71 nodes and 2571 edges.
Tags: Social, Offline, Multilayer, Unweighted
https://net…
@netzschleuder@social.skewed.decaida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 18100 nodes and 74994 edges.
Tags: Technological, Communication, Unweighted, Temporal
@netzschleuder@social.skewed.decaida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 23072 nodes and 78684 edges.
Tags: Technological, Communication, Unweighted, Temporal
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.deepinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.deepinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@netzschleuder@social.skewed.detwitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…
@netzschleuder@social.skewed.demoreno_taro: Papuan gift-giving (1970)
A network of gift-giving relationships (taro exchange) among households in a Papuan village. Data collected by survey c.1970.
This network has 22 nodes and 78 edges.
Tags: Social, Offline, Unweighted
https://networks.skewed.de/net/moreno_ta…
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
…
@netzschleuder@social.skewed.defao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.deambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 4 edges.
Tags: Social, Offline, Weighted, Temporal
@netzschleuder@social.skewed.decs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.dephysician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted
@netzschleuder@social.skewed.defao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer
@netzschleuder@social.skewed.debitcoin_alpha: Bitcoin Alpha trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin Alpha platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 3783 nodes and 24186 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@netzschleuder@social.skewed.demontreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.deambassador: Philippines Ambassador bombing (2000)
A temporal network representing snapshots of relationships among individuals directly or indirectly associated with Philippines Ambassador Residence Bombing 2000, Jakarta. Nodes are people, and an edge exists if they are associated with each other. Definition of the edge weight is unknown.
This network has 16 nodes and 49 edges.
Tags: Social, Offline, Weighted, Temporal
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.decaida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 24776 nodes and 101654 edges.
Tags: Technological, Communication, Unweighted, Temporal
@netzschleuder@social.skewed.decaida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 26242 nodes and 106348 edges.
Tags: Technological, Communication, Unweighted, Temporal
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.deflorentine_families: Padgett Florentine families
Multiplex network with 2 edge types representing marriage alliances and business relationships between Florentine families during the Italian Renaissance. Data hosted by Manlio De Domenico.
This network has 16 nodes and 35 edges.
Tags: Social, Relationships, Multilayer, Unweighted
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@netzschleuder@social.skewed.dewiki_rfa: Wikipedia RfA voting network (2013)
The set of all votes on Requests for Adminships (RfA), from 2003 to May 2013, represented as a directed, signed network in which nodes represent Wikipedia members and edges represent votes.
This network has 11381 nodes and 198275 edges.
Tags: Social, Relationships, Signed
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@netzschleuder@social.skewed.defacebook_wall: Facebook wall posts (2009)
Friendship relationships and interactions (wall posts) for a subset of the Facebook social network in 2009, recorded over a 2 year period. Edge directed edge represents a post by one user on another user's FB wall.
This network has 46952 nodes and 876993 edges.
Tags: Social, Online, Temporal, Multigraph
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
@netzschleuder@social.skewed.debitcoin_trust: Bitcoin OTC trust network (2017)
A network of who-trusts-whom relationships among users of the Bitcoin OTC platform. Each directed edge (i,j,w) represents the rating of user j by user i, in which i assigns j a weight w on a scale of -10 (total distrust) to 10 (total trust) in steps of 1.
This network has 5881 nodes and 35592 edges.
Tags: Social, Online, Weighted, Signed, Timestamps
