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        <datestamp>2026-09-17T17:40:42Z</datestamp>
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          <dc:title>&lt;p&gt;Normalized ranking scores. Ordinal ranks are given in parentheses. Ranks were assigned in descending order of score, with rank 1 corresponding to the largest score. Ties were assigned midranks. The final column shows the simple average of the three normalized scores for each street.&lt;/p&gt;</dc:title>
          <dc:creator>Takashi Teramoto (4809696)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>study demonstrates ranking</dc:subject>
          <dc:subject>strongest ,&amp;# 8221</dc:subject>
          <dc:subject>newspaper article asking</dc:subject>
          <dc:subject>lower positions differed</dc:subject>
          <dc:subject>familiar civic data</dc:subject>
          <dc:subject>connect quantitative research</dc:subject>
          <dc:subject>51 decisive outcomes</dc:subject>
          <dc:subject>calculated using colley</dc:subject>
          <dc:subject>59 observed comparisons</dc:subject>
          <dc:subject>like street network</dc:subject>
          <dc:subject>methods broadly agreed</dc:subject>
          <dc:subject>comparing ranking methods</dc:subject>
          <dc:subject>broad public interest</dc:subject>
          <dc:subject>kyoto &amp;# 8217</dc:subject>
          <dc:subject>intersection name exists</dc:subject>
          <dc:subject>intersection names provide</dc:subject>
          <dc:subject>street mentioned first</dc:subject>
          <dc:subject>two street names</dc:subject>
          <dc:subject>dori ranked second</dc:subject>
          <dc:subject>public interest</dc:subject>
          <dc:subject>intersection name</dc:subject>
          <dc:subject>&amp;# 8220</dc:subject>
          <dc:subject>intersection names</dc:subject>
          <dc:subject>two streets</dc:subject>
          <dc:subject>ranked streets</dc:subject>
          <dc:subject>missing comparisons</dc:subject>
          <dc:subject>colley method</dc:subject>
          <dc:subject>intersection bears</dc:subject>
          <dc:subject>south street</dc:subject>
          <dc:subject>central kyoto</dc:subject>
          <dc:subject>markov methods</dc:subject>
          <dc:subject>based methods</dc:subject>
          <dc:subject>south streets</dc:subject>
          <dc:subject>simple averaging</dc:subject>
          <dc:subject>score spacing</dc:subject>
          <dc:subject>rank aggregation</dc:subject>
          <dc:subject>methodological example</dc:subject>
          <dc:subject>method used</dc:subject>
          <dc:subject>markov chain</dc:subject>
          <dc:subject>many intersections</dc:subject>
          <dc:subject>eight draws</dc:subject>
          <dc:subject>dori first</dc:subject>
          <dc:subject>dataset consists</dc:subject>
          <dc:subject>closely followed</dc:subject>
          <dc:subject>approximately grid</dc:subject>
          <dc:description>&lt;p&gt;Normalized ranking scores. Ordinal ranks are given in parentheses. Ranks were assigned in descending order of score, with rank 1 corresponding to the largest score. Ties were assigned midranks. The final column shows the simple average of the three normalized scores for each street.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-17T17:40:33Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0358233.t002</dc:identifier>
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