Approach Central Partners? Exploring the Association of the Knowledge Network With the Dynamics of the Collaboration Network

Despite considerable attention to network outcomes, there is still a significant lack of exploration into network genesis, not to mention the drivers of partner network dynamics. As networks evolve, some scholars form ties with central figures, while others do not. To answer this question, in this article, we aim to investigate the influence of scholars’ knowledge network characteristics on their collaborations with central figures. Using blockchain-related papers published between 2013 and 2021 from the Web of Science, this study employs an empirical method to examine the relationship between the centrality and structural holes of scholars’ knowledge elements in the knowledge network and the centrality of their coauthors in the collaboration network. The data underwent careful processing, including extensive keyword cleaning and author disambiguation, to ensure the reliability of the collaboration and knowledge networks. Several robustness tests were conducted to solve the endogeneity and confirm the consistency of results across alternative variable measures and models. The results are as follows: First, the knowledge network centrality of scholars’ knowledge elements exhibits an inverted-U-shaped relationship with the collaboration network centrality of their coauthors. Second, the knowledge network structural holes of scholars’ knowledge elements positively correlate with the collaboration network centrality of their coauthors. Third, the substitutability of scholars’ knowledge elements weakens the above-mentioned relationships. In conclusion, achieving an optimal balance of centrality, strategically bridging structural gaps, and preserving the uniqueness of these knowledge elements are critical for scholars aiming to cultivate collaborations with central scholars.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3584244
Citations
2
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
4.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Approach Central Partners? Exploring the Association of the Knowledge Network With the Dynamics of the Collaboration Network

Zijie Shen, Yan Yan, Wei Chen, Shusheng Wang
2 citations
IEEE Transactions on Engineering Management
Innovation and Knowledge Management
4.45
article

Approach Central Partners? Exploring the Association of the Knowledge Network With the Dynamics of the Collaboration Network

Zijie Shen, Yan Yan, Wei Chen, Shusheng Wang
article en
2 citations

Abstract

Despite considerable attention to network outcomes, there is still a significant lack of exploration into network genesis, not to mention the drivers of partner network dynamics. As networks evolve, some scholars form ties with central figures, while others do not. To answer this question, in this article, we aim to investigate the influence of scholars’ knowledge network characteristics on their collaborations with central figures. Using blockchain-related papers published between 2013 and 2021 from the Web of Science, this study employs an empirical method to examine the relationship between the centrality and structural holes of scholars’ knowledge elements in the knowledge network and the centrality of their coauthors in the collaboration network. The data underwent careful processing, including extensive keyword cleaning and author disambiguation, to ensure the reliability of the collaboration and knowledge networks. Several robustness tests were conducted to solve the endogeneity and confirm the consistency of results across alternative variable measures and models. The results are as follows: First, the knowledge network centrality of scholars’ knowledge elements exhibits an inverted-U-shaped relationship with the collaboration network centrality of their coauthors. Second, the knowledge network structural holes of scholars’ knowledge elements positively correlate with the collaboration network centrality of their coauthors. Third, the substitutability of scholars’ knowledge elements weakens the above-mentioned relationships. In conclusion, achieving an optimal balance of centrality, strategically bridging structural gaps, and preserving the uniqueness of these knowledge elements are critical for scholars aiming to cultivate collaborations with central scholars.

IEEE Transactions on Engineering ManagementVol. 72
Renmin University of China (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 6%
Innovation and Knowledge Management
4.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.