Work

A Guide for Choosing Community Detection Algorithms in Social Network Studies: The Question Alignment Approach

Year: 2020

Type: article

Source: American Journal of Preventive Medicine

DOI: 10.1016/j.amepre.2020.04.015

Authors: Natalie R. Smith, Paul N. Zivich, Leah M. Frerichs, James Moody, Allison E. Aiello

Institutions: University of North Carolina at Chapel Hill, Duke University, King Abdulaziz University

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Centers for Disease Control and Prevention, National Heart, Lung, and Blood Institute, National Institute of Environmental Health Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1017297203, G1120543537, G3441743100, A RANDOMIZED STUDY OF EXCLUSION CRITERIA IN A UNIVERSITY POPULATION, Identifying and Disentangling Social and Physical Environmental Effects on Physical Activity in Diverse Adolescent and Young Adult Populations, G9000001595, G9000112825, UNC Center for Environmental Health and Susceptibility

OpenAlex ID: W3087296426

FWCI: 3.491

Cites: 50

Cited by: 87

Related to: 10