Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China

Yonghong Ma, Xiaomeng Yang (), Sen Qu and Lingkai Kong
Additional contact information
Yonghong Ma: Harbin Engineering University
Xiaomeng Yang: Harbin Engineering University
Sen Qu: Harbin Engineering University
Lingkai Kong: Harbin Engineering University

Scientometrics, 2022, vol. 127, issue 3, No 5, 1273-1294

Abstract: Abstract The purpose of the present paper is to investigate the formation mechanism of big data technology cooperation networks by considering the combined effect of three key factors, i.e., the individual characteristics, relationship characteristics, and cooperation characteristics of research and development (R&D) entities. The utilized research data come from Chinese big data technology cooperation patents granted during the years 2009–2018. In this paper, an exponential random graph model is applied to study the impact of different indicators on a big data technology cooperation network. The results show that R&D capability and structural holes in the individual characteristics of R&D entities have negative impacts on the formation of big data technology cooperation networks. In contrast, R&D entities with a high degree centrality are beneficial to the development of big data technology cooperation networks. Regarding relationship characteristics, a trend of geographical homogeneity is obvious in the formation process of the examined big data technology cooperation network, while the effect of organisational homogeneity is nonsignificant. In terms of cooperation characteristics, the network tends to facilitate convergent cooperation and transitive cooperation rather than intermediary cooperation. The present results provide a scientific reference for entities working to build effective cooperation relationships and promote the sustainable development of big data technology.

Keywords: Big data technology; Cooperation network; ERGM; Individual characteristic; Relationship characteristic; Cooperation characteristic (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04270-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:scient:v:127:y:2022:i:3:d:10.1007_s11192-022-04270-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-022-04270-4

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().