<?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>2026-09-21T09:19:19Z</responseDate><request verb="GetRecord" identifier="oai:wakespace.lib.wfu.edu:10339/38577" metadataPrefix="dim">https://wakespace.lib.wfu.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:null:10339/38577</identifier><datestamp>2026-09-02T08:42:38Z</datestamp><setSpec>com_10339_14934</setSpec><setSpec>col_10339_38132</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Sizemore, Robert Kelly</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-06-06T21:19:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2013-06-06T21:19:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://wakespace.lib.wfu.edu/handle/10339/38577</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, we examine a ranking method called  HodgeRank. HodgeRank was introduced in 2008 by Jiang, Lim, Yao and Ye as ``a promising tool for the statistical analysis of ranking, especially for datasets with cardinal, incomplete, and imbalanced information.&amp;apos;&amp;apos; To apply these methods, we require data in the form of pairwise comparisons, meaning each voter would have rated items in pairs. An obvious candidate for ranking data in the form of pairwise comparisons comes from sports, where such comparisons are very natural (i.e. games between two teams). We describe a simple way in which  HodgeRank can be used for sports ratings and show how  HodgeRank generalizes the well-established sports rating method known as  Massey&amp;apos;s method.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">en</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Wake Forest University</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Graph Theory</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Hodge Theory</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Sports Ranking</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Topology</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">HodgeRank: Applying Combinatorial Hodge Theory to Sports Ranking</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeChair" lang="en_US">Parsley, Robert J</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeMember" lang="en_US">Mastin, John M</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeMember" lang="en_US">Moore, William F</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="discipline" lang="en_US">Mathematics</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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