Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research
Autor: | Maximilian Stubbemann, Tom Hanika, Robert Jäschke, Tobias Koopmann, Matthias Kapa, Michael Paris, Guido Buenstorf, Andreas Hotho, Gerd Stumme |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Knowledge management
business.industry Social proximity 05 social sciences Rank (computer programming) General Social Sciences Geographic proximity Cognition Library and Information Sciences language.human_language Computer Science Applications German Interpersonal ties Multiple time dimensions Research community 0502 economics and business language Sociology 050207 economics ddc:004 business 050203 business & management |
Popis: | Creation and exchange of knowledge depends on collaboration. Recent work has suggested that the emergence of collaboration frequently relies on geographic proximity. However, being co-located tends to be associated with other dimensions of proximity, such as social ties or a shared organizational environment. To account for such factors, multiple dimensions of proximity have been proposed, including cognitive, institutional, organizational, social and geographical proximity. Since they strongly interrelate, disentangling these dimensions and their respective impact on collaboration is challenging. To address this issue, we propose various methods for measuring different dimensions of proximity. We then present an approach to compare and rank them with respect to the extent to which they indicate co-publications and co-inventions. We adapt the HypTrails approach, which was originally developed to explain human navigation, to co-author and co-inventor graphs. We evaluate this approach on a subset of the German research community, specifically academic authors and inventors active in research on artificial intelligence (AI). We find that social proximity and cognitive proximity are more important for the emergence of collaboration than geographic proximity. |
Databáze: | OpenAIRE |
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