dc.contributor.author | Schobin, Janosch | |
dc.date.accessioned | 2022-11-03T12:56:13Z | |
dc.date.available | 2022-11-03T12:56:13Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/82335 | |
dc.description.abstract | Matthew J. Salganik: Bit by Bit: Social Research in the Digital Age. Princeton, NJ / Oxford: Princeton University Press 2017. 9780691158648 | |
dc.language | de | |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | ; Wissenschaft & Technik | |
dc.title | Das Beste aus zwei Welten? Matthew Salganik entwirft eine quantitative Soziologie für das digitale Zeitalter | |
dc.description.review | begutachtet | de |
dc.description.review | reviewed | en |
dc.identifier.url | https://www.soziopolis.de/das-beste-aus-zwei-welten.pdf | |
dc.source.journal | Soziopolis: Gesellschaft beobachten | |
dc.subject.classoz | Sozialwissenschaften | de |
dc.subject.classoz | Social Sciences | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-82335-8 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | HIS | |
internal.status | 1 | |
dc.type.stock | article | |
dc.type.document | Rezension | de |
dc.type.document | review | en |
internal.identifier.classoz | 10000 | |
internal.identifier.journal | 1401 | |
internal.identifier.document | 23 | |
internal.identifier.ddc | 300 | |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 2 | |
internal.dda.reference | excel-database-45@@Soziopolis;article%%1025 | |
ssoar.urn.registration | true | |