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.

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Notes/Citation Information

Published in Communication Methods and Measures, v. 11, issue 3, p. 153-172.

© 2017 Taylor & Francis Group, LLC

The copyright holder has granted the permission for posting the article here.

This is an Accepted Manuscript of an article published by Taylor & Francis in Communication Methods and Measures on 18 Apr 2017, available online: http://www.tandfonline.com/10.1080/19312458.2017.1313396.

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Funding Information 

National Cancer Institute (P50 CA095817-05).