<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T11:52:05Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/410270" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/410270</identifier><datestamp>2025-07-23T04:46:04Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">González Valdivia, Guillem</subfield>
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      <subfield code="c">2024-01-25</subfield>
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      <subfield code="a">Un model rellevant en ciència de xarxes són els grafs multicapa, obtinguts per superposició de grafs. En aquest projecte volem portar a terme un estudi experimental de paràmetres i propietats dels grafs geomètrics aleatoris multicapa. Amb l'objectiu d'esbrinar les diferències i similituds en el model a mesura que s'incrementa el nombre de capes, així com altres paràmetres necessaris per generar un graf geomètric aleatori multicapa. Realitzem un estudi sobre una sèrie de paràmetres d'interés obtinguts de generar grans quantitats d'aquest tipus de graf, per tal de veure com progressen modificant aquests atributs generadors, i relacionar els resultats obtinguts a comportaments del camp de les xarxes socials.</subfield>
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      <subfield code="a">A relevant model in network science is multilayer graphs, obtained by overlapping graphs. In this project we want to carry out an experimental study of parameters and properties of multilayer random geometric graphs. With the aim of finding out the differences and similarities in the model as the number of layers increases, as well as other parameters necessary to generate a multilayer random geometric graph. We carry out a study on a series of parameters of interest obtained from generating large quantities of this type of graph, in order to see how they progress by modifying these generating attributes, and relate the results obtained to behaviors in the field of social networks.</subfield>
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      <subfield code="a">Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors</subfield>
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      <subfield code="a">Graph algorithms</subfield>
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      <subfield code="a">Social networks</subfield>
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      <subfield code="a">teoria de grafs</subfield>
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      <subfield code="a">grafs geomètrics aleatoris</subfield>
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      <subfield code="a">grafs geomètrics aleatoris multicapa</subfield>
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      <subfield code="a">xarxes socials</subfield>
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      <subfield code="a">xarxes socials multiplexades</subfield>
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      <subfield code="a">graph theory</subfield>
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      <subfield code="a">computer science</subfield>
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      <subfield code="a">random geometric graphs</subfield>
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      <subfield code="a">multilayer random geometric graphs</subfield>
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      <subfield code="a">Algorismes de grafs</subfield>
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      <subfield code="a">Un estudi experimental de grafs geomètrics aleatoris multicapa</subfield>
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