INFERENCE FOR SOCIAL NETWORK MODELS FROM EGOCENTRICALLY SAMPLED DATA, WITH APPLICATION TO UNDERSTANDING PERSISTENT RACIAL DISPARITIES IN HIV PREVALENCE IN THE US

• Published in: The annals of applied statistics Vol. 11; no. 1; p. 427
• Main Authors: Krivitsky, Pavel N, Morris, Martina
• Format: Journal Article
• Language: English
• Published: United States 01.03.2017
• Subjects: social network; egocentrically-sampled data; ERGM; random graph; pseudo maximum likelihood; pseudo likelihood

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...