gris-publication-5vjn80veqv20

Property	Value
?:contributor	<https://data.gesis.org/gesiskg/resource/gris-publication-5vjn80veqv20_Claudia_Wagner> <https://data.gesis.org/gesiskg/resource/gris-publication-5vjn80veqv20_Johannes_Schantl> <https://data.gesis.org/gesiskg/resource/gris-publication-5vjn80veqv20_Markus_Strohmaier> <https://data.gesis.org/gesiskg/resource/gris-publication-5vjn80veqv20_Ren%C3%A9_Kaiser>
?:dateModified	2013 (xsd:gyear)
?:datePublished	2013 (xsd:gyear)
?:doi	10.1007/978-3-642-38288-8_34 ()
?:duplicate	<https://data.gesis.org/gesiskg/resource/duplicate_gris-publication-5vjn80veqv20_gesis-ssoar-66083>
is ?:hasPart of	<https://data.gesis.org/gesiskg/resource/>
is ?:mainEntity of	<https://data.gesis.org/gesiskg/resource/duplicate_gesis-ssoar-66083_gris-publication-5vjn80veqv20>
?:name	The utility of social and topical factors in anticipating repliers in Twitter conversations (xsd:string)
?:publicationType	inproceedings (xsd:string)
?:sourceInfo	GESIS-GRIS (xsd:string) In WebSci '13: Proceedings of the 3rd Annual ACM Web Science Conference, edited by Hugh Davies, 376-385, ACM, New York, 2013 (xsd:string)
rdf:type	<https://schema.org/ScholarlyArticle>
?:url	<http://www.markusstrohmaier.info/documents/2013_WebSci2013_Conversation_Analysis.pdf>