Details
| Original language | English |
|---|---|
| Pages (from-to) | 9847-9868 |
| Number of pages | 22 |
| Journal | SCIENTOMETRICS |
| Volume | 126 |
| Issue number | 12 |
| Early online date | 20 Mar 2021 |
| Publication status | Published - Dec 2021 |
Abstract
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.
Keywords
- Co-authorships, Co-inventorships, Collaboration, Dimensions of proximity, Embedding techniques
ASJC Scopus subject areas
- Social Sciences(all)
- Computer Science(all)
- Computer Science Applications
- Social Sciences(all)
- Library and Information Sciences
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In: SCIENTOMETRICS, Vol. 126, No. 12, 12.2021, p. 9847-9868.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Proximity dimensions and the emergence of collaboration
T2 - a HypTrails study on German AI research
AU - Koopmann, Tobias
AU - Stubbemann, Maximilian
AU - Kapa, Matthias
AU - Paris, Michael
AU - Buenstorf, Guido
AU - Hanika, Tom
AU - Hotho, Andreas
AU - Jäschke, Robert
AU - Stumme, Gerd
N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. This work is funded by the German Federal Ministry of Education and Research(BMBF) under grant numbers 01PU17012A-D.
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
KW - Co-authorships
KW - Co-inventorships
KW - Collaboration
KW - Dimensions of proximity
KW - Embedding techniques
UR - http://www.scopus.com/inward/record.url?scp=85103208195&partnerID=8YFLogxK
U2 - 10.1007/s11192-021-03922-1
DO - 10.1007/s11192-021-03922-1
M3 - Article
AN - SCOPUS:85103208195
VL - 126
SP - 9847
EP - 9868
JO - SCIENTOMETRICS
JF - SCIENTOMETRICS
SN - 0138-9130
IS - 12
ER -