EconPapers    
Economics at your fingertips  
 

THE ROLE OF NETWORK EMBEDDEDNESS ON THE SELECTION OF COLLABORATION PARTNERS: AN AGENT-BASED MODEL WITH EMPIRICAL VALIDATION

Frank Schweitzer, Antonios Garas, Mario V. Tomasello, Giacomo Vaccario and Luca Verginer
Additional contact information
Frank Schweitzer: Chair of Systems Design, Department of Management Technology and Economics, ETH Zürich, Weinbergstrasse 56/58, CH-8092 Zürich, Switzerland
Antonios Garas: Chair of Systems Design, Department of Management Technology and Economics, ETH Zürich, Weinbergstrasse 56/58, CH-8092 Zürich, Switzerland
Mario V. Tomasello: Chair of Systems Design, Department of Management Technology and Economics, ETH Zürich, Weinbergstrasse 56/58, CH-8092 Zürich, Switzerland
Giacomo Vaccario: Chair of Systems Design, Department of Management Technology and Economics, ETH Zürich, Weinbergstrasse 56/58, CH-8092 Zürich, Switzerland

Advances in Complex Systems (ACS), 2022, vol. 25, issue 02n03, 1-18

Abstract: We use a data-driven agent-based model to study the core–periphery structure of two collaboration networks, R&D alliances between firms and co-authorship relations between scientists. To characterize the network embeddedness of agents, we introduce a coreness value obtained from a weighted k-core decomposition. We study the change of these coreness values when collaborations with newcomers or established agents are formed. Our agent-based model is able to reproduce the empirical coreness differences of collaboration partners and to explain why we observe a change in partner selection for agents with high network embeddedness.

Keywords: R&D network; agent-based modeling; scientific collaborations; R&D alliances; firm alliances (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525922500035
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:25:y:2022:i:02n03:n:s0219525922500035

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525922500035

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2024-10-11
Handle: RePEc:wsi:acsxxx:v:25:y:2022:i:02n03:n:s0219525922500035