Evolution model for scientific collaboration network with local-world information

Tian, Shengwen; Liao, Jianxin; Wang, Jingyu; Qi, Qi

doi:10.1016/s1005-8885(14)60281-8

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As connections between authors constituting the cooperative network are formed based on the authors" own decisions (reminders of the invisible hand theory), these networks reflect authors" collaboration development behavior (Çavusoglu and Türker, 2013). Co-authoring network research focuses from a macro perspective on the global nature of the networks (Newman, 2001;De Stefano et al, 2013;Tian et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Investigation of Health Management Domain Co-Authoring Activities through Social Network Analysis

Bekaroğlu¹,

Danayiyen²,

Kavşur³

et al. 2019

IJBSS

View full text Add to dashboard Cite

The aim of this paper is to explore how health management departments' affiliation with faculties affects collaboration of authors. A social network-based collaborative model was established of 793 collaborations and a total of 203 publications used to make up the network. Discipline diversity index and university diversity index were developed. A regression model was used to investigate the extent to which ego network measures and institution, gender, and title changes contribute to changes in the indexes. With the models formed, the authors were tested according to their collaboration behaviors with different authors, different disciplines, different universities, their qualities, and ego network measures. Affiliation with health sciences increases interdisciplinary studies, whereas affiliation with management increases collaboration and university diversity, contributing to the release of a higher number of international publications. Preferred linking according to closeness, collaboration diversities decrease, thus an increase of constraint in reaching new information and resources is observed.

show abstract

Section: Introductionmentioning

confidence: 99%