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dc.contributor.authorBojanowski, Michał
dc.contributor.authorCzerniawska, Dominika
dc.contributor.authorFenrich, Wojciech
dc.identifier.citationConnections. Volume 40, Issue 1, Pages 25-30, DOI:
dc.description.abstractIn order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which scientists contribute into collaborations with others. The data we describe in this paper are an egocentric dataset assembled by coding originally qualitative material. It is 40 multiplex ego networks containing data on individual attributes (such as gender, scientific degree), collaboration ties (including alter–alter ties), and resource flows. Resources are coded using a developed inventory of 25 types of academically relevant resources egos and alters contribute into their collaborations. We share the data with the research community with the hopes of enriching knowledge and tools for studying sociological and behavioral aspects of science as a social process.en
dc.rightsCreative Commons Uznanie autorstwa 4.0*
dc.subjectcollaboration networksen
dc.subjectsociology of scienceen
dc.subjectego networksen
dc.titleAcademic Collaboration via Resource Contributions: An Egocentric Dataseten
dc.contributor.organizationKozminski University, Warsaw, Polanden
dc.contributor.organizationUniversity of Manchester, Manchester, UKen
dc.contributor.organizationInterdisciplinary Centre for Mathematical and Computational Modelling, University of Warsawen

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Creative Commons Uznanie autorstwa 4.0
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