Literature DB >> 32053913

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

Zhigang Li1, Xu Xu2.   

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.

Entities:  

Keywords:  e-health community; information dissemination behavior; interaction frequency; social capital; social network analysis

Year:  2020        PMID: 32053913     DOI: 10.3390/ijerph17041136

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  5 in total

1.  Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects.

Authors:  Jingfang Liu; Yafei Liu
Journal:  Int J Environ Res Public Health       Date:  2022-05-24       Impact factor: 4.614

2.  Analysis of the Evolution of User Emotion and Opinion Leaders' Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19.

Authors:  Xu Xu; Zhigang Li; Rui Wang; Li Zhao
Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

3.  Study on the Relationships between Doctor Characteristics and Online Consultation Volume in the Online Medical Community.

Authors:  Zhu Chen; Qingli Song; An Wang; Dong Xie; Huiying Qi
Journal:  Healthcare (Basel)       Date:  2022-08-16

4.  Patient's behavior of selection physician in online health communities: Based on an Elaboration likelihood model.

Authors:  Min Qin; Wei Zhu; Changmeng You; Shuqin Li; Shanshan Qiu
Journal:  Front Public Health       Date:  2022-10-03

5.  Special Issue on E-Health Services.

Authors:  Rolf Wynn; Elia Gabarron; Jan-Are K Johnsen; Vicente Traver
Journal:  Int J Environ Res Public Health       Date:  2020-04-22       Impact factor: 3.390

  5 in total

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