Other Open Access
Slavec, Ana; Rovere, Barbara; Kies, Uwe; Kleinschmidt von Lengefeld, Andreas
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Slavec, Ana</dc:creator> <dc:creator>Rovere, Barbara</dc:creator> <dc:creator>Kies, Uwe</dc:creator> <dc:creator>Kleinschmidt von Lengefeld, Andreas</dc:creator> <dc:date>2018-05-11</dc:date> <dc:description>Two-mode social network analysis (SNA) can be applied to data that consists of two sets of units, from analysing persons and societies to authors and papers. The objective of this paper is to evaluate the possibilities of this approach for the analysis of connections between researchers and their future research ideas based on survey data.</dc:description> <dc:identifier>https://zenodo.org/record/1404717</dc:identifier> <dc:identifier>10.5281/zenodo.1404717</dc:identifier> <dc:identifier>oai:zenodo.org:1404717</dc:identifier> <dc:language>eng</dc:language> <dc:relation>info:eu-repo/grantAgreement/EC/H2020/739574/</dc:relation> <dc:relation>issn:1849-9864</dc:relation> <dc:relation>issn:2584-3850</dc:relation> <dc:relation>doi:10.5281/zenodo.1404716</dc:relation> <dc:relation>url:https://zenodo.org/communities/innorenew</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>innovation, research mapping and clustering, social network analysis.</dc:subject> <dc:title>Exploring connections between researchers and ideas in the European Hardwoods Innovation Alliance using two-mode social network analysis</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>publication-other</dc:type> </oai_dc:dc>
All versions | This version | |
---|---|---|
Views | 67 | 67 |
Downloads | 481 | 483 |
Data volume | 242.6 MB | 243.6 MB |
Unique views | 63 | 63 |
Unique downloads | 470 | 472 |