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        <identifier>oai:kansai-u.repo.nii.ac.jp:00013116</identifier>
        <datestamp>2023-11-27T02:46:22Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title xml:lang="en">Hierarchical Structure in Food Consumption</dc:title>
          <jpcoar:creator>
            <jpcoar:nameIdentifier nameIdentifierURI="https://nrid.nii.ac.jp/ja/nrid/1000080202745" nameIdentifierScheme="e-Rad">80202745</jpcoar:nameIdentifier>
            <jpcoar:creatorName xml:lang="ja">荒木, 孝治</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Araki, Takaharu</jpcoar:creatorName>
            <jpcoar:familyName xml:lang="ja">荒木</jpcoar:familyName>
            <jpcoar:familyName xml:lang="en">Araki</jpcoar:familyName>
            <jpcoar:givenName xml:lang="ja">孝治</jpcoar:givenName>
            <jpcoar:givenName xml:lang="en">Takaharu</jpcoar:givenName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:nameIdentifier nameIdentifierURI="https://nrid.nii.ac.jp/ja/nrid/1000060198687" nameIdentifierScheme="e-Rad">60198687</jpcoar:nameIdentifier>
            <jpcoar:creatorName xml:lang="en">Hashimoto, Noriko</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject subjectScheme="Other">correlation coefficient</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">food consumption</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">hierarchical structure</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">minimal spanning tree (MST)</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">dendrogram</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">cluster analysis</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">関西大学</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Kansai University</jpcoar:subject>
          <datacite:description descriptionType="Other">In recent years, a group of physicists have started to research financial systems by using tools and methodologies which are specific to physics. Mantegna (1998) proposed a new method detecting the existence of the economic information stored in the time series of stock prices. He used correlation coefficient to evaluate the distance between stocks and reveal the spatial structure of stocks traded in a financial market. In this paper, we apply his method to consumption data and explain a hierarchical structure of food consumption.</datacite:description>
          <dc:publisher>Faculty of Economics, Kansai University</dc:publisher>
          <datacite:date dateType="Issued">2002-03</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">departmental bulletin paper</dc:type>
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          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/10112/00017181</jpcoar:identifier>
          <jpcoar:identifier identifierType="URI">https://kansai-u.repo.nii.ac.jp/records/13116</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA1166240X</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="PISSN">13448463</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>Kansai University review of economics</jpcoar:sourceTitle>
          <jpcoar:volume>4</jpcoar:volume>
          <jpcoar:pageStart>57</jpcoar:pageStart>
          <jpcoar:pageEnd>69</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2019-07-30</datacite:date>
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