{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T09:14:19Z","timestamp":1719220459237},"reference-count":18,"publisher":"World Scientific Pub Co Pte Lt","issue":"07","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2012,7]]},"abstract":"<jats:p> The understanding of the structure and dynamics of the intricate network of connections among people that consumes products through Internet appears as an extremely useful asset in order to study emergent properties related to social behavior. This knowledge could be useful, for example, to improve the performance of personal recommendation algorithms. In this contribution, we analyzed five-year records of movie-rating transactions provided by Netflix, a movie rental platform where users rate movies from an online catalog. This dataset can be studied as a bipartite user-item network whose structure evolves in time. Even though several topological properties from subsets of this bipartite network have been reported with a model that combines random and preferential attachment mechanisms [Beguerisse D\u00edaz et al., 2010], there are still many aspects worth to be explored, as they are connected to relevant phenomena underlying the evolution of the network. In this work, we test the hypothesis that bursty human behavior is essential in order to describe how a bipartite user-item network evolves in time. To that end, we propose a novel model that combines, for user nodes, a network growth prescription based on a preferential attachment mechanism acting not only in the topological domain (i.e. based on node degrees) but also in time domain. In the case of items, the model mixes degree preferential attachment and random selection. With these ingredients, the model is not only able to reproduce the asymptotic degree distribution, but also shows an excellent agreement with the Netflix data in several time-dependent topological properties. <\/jats:p>","DOI":"10.1142\/s0218127412501805","type":"journal-article","created":{"date-parts":[[2012,8,13]],"date-time":"2012-08-13T02:36:01Z","timestamp":1344825361000},"page":"1250180","source":"Crossref","is-referenced-by-count":3,"title":["MODELING THE EVOLUTION OF ITEM RATING NETWORKS USING TIME-DOMAIN PREFERENTIAL ATTACHMENT"],"prefix":"10.1142","volume":"22","author":[{"given":"EDMUNDO F.","family":"LAVIA","sequence":"first","affiliation":[{"name":"Physics Department, School of Sciences, University of Buenos Aires, Av. Cantilo s\/n, Pab.1, Ciudad Universitaria, Buenos Aires 1428, Argentina"}]},{"given":"ARIEL","family":"CHERNOMORETZ","sequence":"additional","affiliation":[{"name":"Physics Department, School of Sciences, University of Buenos Aires, Av. Cantilo s\/n, Pab.1, Ciudad Universitaria, and Fundaci\u00f3n Instituto Leloir, Av. Patricias Argentinas 440, and CONICET, Av. Rivadavia 1917, Buenos Aires 1428, Argentina"}]},{"given":"JAVIER M.","family":"BULD\u00da","sequence":"additional","affiliation":[{"name":"Complex Systems Group, URJC, 28933 M\u00f3stoles, Spain"},{"name":"Laboratory of Biological Networks, Centre for Biomedical Technology (UPM), 28922 Pozuelo de Alarc\u00f3n, Madrid, Spain"}]},{"given":"MASSIMILIANO","family":"ZANIN","sequence":"additional","affiliation":[{"name":"Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarc\u00f3n, 28223 Madrid, Spain"},{"name":"Faculdade de Ci\u00eancias e Tecnologia, Departamento de Engenharia Electrot\u00e9cnica, Universidade Nova de Lisboa, Portugal"},{"name":"Innaxis Foundation &amp; Research Institute, Jos\u00e9 Ortega y Gasset 20, 28006, Madrid, Spain"}]},{"given":"PABLO","family":"BALENZUELA","sequence":"additional","affiliation":[{"name":"Physics Department, School of Sciences, University of Buenos Aires, Av. Cantilo s\/n, Pab.1, Ciudad Universitaria, and CONICET, Av. Rivadavia 1917, Buenos Aires 1428, Argentina"}]}],"member":"219","published-online":{"date-parts":[[2012,8,12]]},"reference":[{"key":"rf1","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"Barab\u00e1si A.-L.","journal-title":"Science"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1038\/nature03459"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1063\/1.3475411"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2005.10.009"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1063\/1.2137622"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13287-2"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1080\/00018732.2011.572452"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963772"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.68.056107"},{"key":"rf13","first-page":"67","volume":"45","author":"Newman M. E. 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