@incollection{Thiel2012Simil-19474,
  year={2012},
  doi={10.1007/978-3-642-31830-6_17},
  title={Node Similarities from Spreading Activation},
  number={7250},
  isbn={978-3-642-31829-0},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Bisociative Knowledge Discovery},
  pages={246--262},
  editor={Berthold, Michael R.},
  author={Thiel, Kilian and Berthold, Michael R.},
  note={Open Access}
}

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/19474">
    <dcterms:title>Node Similarities from Spreading Activation</dcterms:title>
    <dc:contributor>Thiel, Kilian</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/19474/2/Thiel_194740.pdf"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/19474"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-07-09T10:14:18Z</dc:date>
    <dcterms:issued>2012</dcterms:issued>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/19474/2/Thiel_194740.pdf"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-07-09T10:14:18Z</dcterms:available>
    <dcterms:bibliographicCitation>Bisociative Knowledge Discovery : An Introduction to Concept, Algorithms, Tools, and Applications / Michael R. Berthold (ed.). - Heidelberg [u.a.] : Springer, 2012. - S. 246-262. - (Lecture Notes in Computer Science ; 7250 : Lecture notes in artificial intelligence). - ISBN 978-3-642-31829-0</dcterms:bibliographicCitation>
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Thiel, Kilian</dc:creator>
    <dc:language>eng</dc:language>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
    <dc:creator>Berthold, Michael R.</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:abstract xml:lang="eng">In this paper we propose two methods to derive different kinds of node neighborhood based similarities in a network. The first similarity measure focuses on the overlap of direct and indirect neighbors. The second similarity compares nodes based on the structure of their possibly also very distant neighborhoods. Both similarities are derived from spreading activation patterns over time. Whereas in the first method the activation patterns are directly compared, in the second method the relative change of activation over time is compared. We applied both methods to a real world graph dataset and discuss some of the results in more detail.</dcterms:abstract>
  </rdf:Description>
</rdf:RDF>