Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective

Zhigang Li and Xu Xu
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Zhigang Li: School of Management Science, Chengdu University of Technology, No. 1, Dongsan Road, Erxian Bridge, Chenghua District, Chengdu 610059, China
Xu Xu: Chengdu University of Technology, No.1, Dongsan Road, Erxian Bridge, Chenghua District, Chengdu 610059, China

IJERPH, 2020, vol. 17, issue 4, 1-14

Abstract: In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solve some problems for doctors while also promoting doctor communication. This study collected and collated 102 doctors in the “Lilac Forum” and used social network tools to quantify the overall network density, centrality, core–periphery structure, and structural hole indicators of doctors’ information exchange from a social-capital perspective. The results showed that the frequency of interaction between doctors differed because of differences in the identities and participation of doctors in the e-health community. The density of the doctors’ information dissemination network (0.228) and network cohesion (0.610) were relatively high. Thus, the doctors were more closely connected, and information was easily spread. At the same time, doctors with higher professional titles had obvious location characteristics, familiarity and trust, and high levels of reciprocity. They could obtain redundant information in the network and were more likely to influence the behavior of other doctors. This study’s findings provide support for improving information exchange among doctors in e-health communities and improving the service levels of the platforms.

Keywords: social network analysis; information dissemination behavior; social capital; e-health community; interaction frequency (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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