| Literature DB >> 30123400 |
Kang Namkoong1, Dhavan V Shah2, Bryan McLaughlin3, Ming-Yuan Chih4, Tae Joon Moon5, Shawnika Hull6, David H Gustafson7.
Abstract
This article presents an innovative methodology to study computer-mediated communication (CMC), which allows analysis of the multi-layered effects of online expression and reception. The methodology is demonstrated by combining the following three data sets collected from a widely tested eHealth system, the Comprehensive Health Enhancement Support System (CHESS): 1) a flexible and precise computer-aided content analysis; 2) a record of individual message posting and reading; and 3) longitudinal survey data. Further, this article discusses how the resulting data can be applied to online social network analysis and demonstrates how to construct two distinct types of online social networks - open and targeted communication networks - for different types of content embedded in social networks.Entities:
Keywords: computer-mediated communication; content analysis; expression effects; reception effects; social network analysis
Year: 2017 PMID: 30123400 PMCID: PMC6095677 DOI: 10.1080/19312458.2017.1313396
Source DB: PubMed Journal: Commun Methods Meas ISSN: 1931-2458