CitationSmith, Natalie R.; Zivich, Paul N.; Frerichs, Leah; Moody, James W.; & Aeillo, Allison E. (2020). A Guide for Choosing Community Detection Algorithms in Social Network Studies: The Question Alignment Approach. American Journal of Preventive Medicine, 59(4), 597-605. PMCID: PMC7508227
AbstractIntroduction: Community detection, the process of identifying subgroups of highly connected individuals within a network, is an aspect of social network analysis that is relevant but potentially underutilized in prevention research. Guidance on using community detection methods stresses aligning methods with specific research questions but lacks clear operationalization. The Question Alignment approach was developed to help address this gap and promote the high-quality use of community detection methods.
Reference TypeJournal Article
Journal TitleAmerican Journal of Preventive Medicine
Author(s)Smith, Natalie R.
Zivich, Paul N.
Moody, James W.
Aeillo, Allison E.