0000000000407575

AUTHOR

Federico Battiston

showing 2 related works from this author

Detecting informative higher-order interactions in statistically validated hypergraphs

2021

Recent empirical evidence has shown that in many real-world systems, successfully represented as networks, interactions are not limited to dyads, but often involve three or more agents at a time. These data are better described by hypergraphs, where hyperlinks encode higher-order interactions among a group of nodes. In spite of the large number of works on networks, highlighting informative hyperlinks in hypergraphs obtained from real world data is still an open problem. Here we propose an analytic approach to filter hypergraphs by identifying those hyperlinks that are over-expressed with respect to a random null hypothesis, and represent the most relevant higher-order connections. We apply…

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceQC1-999Open problemFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Astrophysicscomputer.software_genreENCODEMethodology (stat.ME)Statistics - MethodologySocial and Information Networks (cs.SI)PhysicsComputer Science - Social and Information NetworksFilter (signal processing)HyperlinkClass (biology)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)QB460-466Pairwise comparisonData miningNoise (video)Null hypothesiscomputerhigher order interactions statistical validation complex networksCommunications Physics
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Elites, communities and the limited benefits of mentorship in electronic music

2020

AbstractWhile the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a lock-in effect on the electronic music elite. Based on the temporal co-release network of top musicians, we extract a diverse community structure characterizing the electronic music industry.…

FOS: Computer and information sciencesPhysics - Physics and SocietyLongitudinal dataFOS: Physical scienceslcsh:MedicinePhysics and Society (physics.soc-ph)Musical01 natural sciencesArticle010305 fluids & plasmasMentorshipElectronic music0103 physical sciencesSociology010306 general physicslcsh:ScienceSocial and Information Networks (cs.SI)Multidisciplinarysocial physics complex networksComputational sciencelcsh:RMedia studiesScientific dataComputer Science - Social and Information NetworksPopularitySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Applied physicsRankingElitelcsh:QScientific Reports
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