ArticleThe annals of applied statistics2017
INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US.
Article in The annals of applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025Pooled it
- A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections.Epidemiology (Cambridge, Mass.) · 2019Pooled it
- Sexual Partner Typologies Among Latino Men Living in Miami, Florida: A Multilevel Latent Class Analysis.Archives of sexual behavior · 2026Article
- Understanding the Personal Networks of People Experiencing Homelessness in King County, WA with Aggregate Relational Data.Social networks · 2026Article
- Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling.Communications medicine · 2026Article
- From Dyadic Distance to Space in Family Networks: Reciprocity of Family Support in Switzerland.The British journal of sociology · 2025Article
- Considerations for Social Networks and Health Data Sharing: An Overview.Annals of epidemiology · 2025Review
- Article
- Explainable artificial intelligence and domain adaptation for predicting HIV infection with graph neural networks.Annals of medicine · 2024Article
- What about Your Friends? Friendship Networks and Mental Health in Critical Consciousness.Youth (Basel, Switzerland) · 2024Article
- Moana: Alternate surveillance for COVID-19 in a Unique Population (MASC-UP).Contemporary clinical trials communications · 2024Article
- Continuous Time Graph Processes with Known ERGM Equilibria: Contextual Review, Extensions, and Synthesis.The Journal of mathematical sociology · 2024Article
- Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh.BMJ global health · 2023Article
- Estimating contact network properties by integrating multiple data sources associated with infectious diseases.Statistics in medicine · 2023Article
- Female cooperative labour networks in hunter-gatherers and horticulturalists.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Network methods and design of randomized trials: Application to investigation of COVID-19 vaccination boosters.Clinical trials (London, England) · 2022Article
- Analytic Advances in Social Networks and Health in the Twenty-First Century.Journal of health and social behavior · 2022Review
- Impact of Survey Design on Estimation of Exponential-Family Random Graph Models from Egocentrically-Sampled Data.Social networks · 2022Article
- A Semiparametric Bayesian Approach to Epidemics, with Application to the Spread of the Coronavirus MERS in South Korea in 2015.Journal of nonparametric statistics · 2022Article
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2 authors.
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Abstract
Egocentric network sampling observes the network of interest from the point of view of a set of sampled actors, who provide information about themselves and anonymized information on their network neighbors. In survey research, this is often the most practical, and sometimes the only, way to observe certain classes of networks, with the sexual networks that underlie HIV transmission being the archetypal case. Although methods exist for recovering some descriptive network features, there is no rigorous and practical statistical foundation for estimation and inference for network models from such data. We identify a subclass of exponential-family random graph models (ERGMs) amenable to being estimated from egocentrically sampled network data, and apply pseudo-maximum-likelihood estimation to do so and to rigorously quantify the uncertainty of the estimates. For ERGMs parametrized to be invariant to network size, we describe a computationally tractable approach to this problem. We use this methodology to help understand persistent racial disparities in HIV prevalence in the US. We also discuss some extensions, including how our framework may be applied to triadic effects when data about ties among the respondent's neighbors are also collected.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.