ArticleAmerican journal of preventive medicine2020
A Guide for Choosing Community Detection Algorithms in Social Network Studies: The Question Alignment Approach.
Article in American journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Examining the social networks of older adults receiving informal or formal care: a systematic review.BMC geriatrics · 2023Pooled it
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- A cross-center comparison of the relationship between matriline fragmentation, grooming cohesion, and agonistic behavior in captive rhesus macaque (bioRxiv : the preprint server for biology · 2026Article
- Benchmarking overlapping community detection methods for applications in human connectomics.Network neuroscience (Cambridge, Mass.) · 2026Article
- Animal contact-related nontyphoidalFrontiers in public health · 2026Article
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- Three dimensional multiscalar neurovascular nephron connectivity map of the human kidney across the lifespan.Nature communications · 2025Article
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- Co-occurrence and clustering characteristics of health risk behaviors among older adults in China.Frontiers in public health · 2025Article
- Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Features and Differences in Core Symptom Clusters in Home-Based Hospice Patients With Advanced Cancer: A Network Analysis.Cancer medicine · 2024Article
- Cross-sectional social network study of adolescent peer group variation in substance use and mental wellbeing.Social networks · 2024Article
- Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Empathy and Schizotypy: A Network Comparison of the Interpersonal Reactivity Index in High and Low Schizotypy Groups.Behavioral sciences (Basel, Switzerland) · 2024Article
- Article
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Authors and funding
5 authors.
Funding
Abstract
introductionCommunity 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.
methodsA total of 6 community detection methods are discussed: Walktrap, Edge-Betweenness, Infomap, Louvain, Label Propagation, and Spinglass. The Question Alignment approach is described and demonstrated using real-world data collected in 2013. This hypothetical case study was conducted in 2019 and focused on targeting a hand hygiene intervention to high-risk communities to prevent influenza transmission.
resultsCommunity detection using the Walktrap method best fit the hypothetical case study. The communities derived using the Walktrap method were quite different from communities derived through the other 5 methods in both the number of communities and individuals within communities. There was evidence to support that the Question Alignment approach can help researchers produce more useful community detection results. Compared to other methods of selecting high-risk groups, the Walktrap produced the most communities that met the hypothetical intervention requirements.
conclusionsAs prevention research incorporating social networks increases, researchers can use the Question Alignment approach to produce more theoretically meaningful results and potentially more useful results for practice. Future research should focus on assessing whether the Question Alignment approach translates into improved intervention results.
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