gris-publication-1os5sn1l2h10

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?:contributor	<https://data.gesis.org/gesiskg/resource/gris-publication-1os5sn1l2h10_Bruno_Ribeiro> <https://data.gesis.org/gesiskg/resource/gris-publication-1os5sn1l2h10_Claudia_Wagner> <https://data.gesis.org/gesiskg/resource/gris-publication-1os5sn1l2h10_Fariba_Karimi> <https://data.gesis.org/gesiskg/resource/gris-publication-1os5sn1l2h10_Kristina_Lerman> <https://data.gesis.org/gesiskg/resource/gris-publication-1os5sn1l2h10_Lisette_Esp%C3%ADn_Noboa>
?:dateModified	2021 (xsd:gyear)
?:datePublished	2021 (xsd:gyear)
?:doi	10.1007/s41109-021-00394-3 ()
?:duplicate	<https://data.gesis.org/gesiskg/resource/duplicate_gris-publication-1os5sn1l2h10_gesis-ssoar-88562>
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?:name	Explaining classification performance and bias via network structure and sampling technique (xsd:string)
?:publicationType	article (xsd:string)
?:sourceInfo	GESIS-GRIS (xsd:string) In Applied Network Science(6), 78, 2021 (xsd:string)
rdf:type	<https://schema.org/ScholarlyArticle>