ArticleNetwork science (Cambridge University Press)2020
Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas.
Article in Network science (Cambridge University Press), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- "When You Are Holding a Pen You Think Deeper about What You Write." Comparing the Experiences of Completing Paper- and Computer-based Participant-aided Sociograms.Field methods · 2026Article
- Caregiver Networks of Older Adults With Alzheimer Disease: Design and Protocol for a Multisite Study Using Network Canvas.JMIR research protocols · 2026Article
- The gears in network dynamics: The alter-trajectory approach.Social networks · 2026Article
- A multilevel social network approach to studying multiple disease-prevention behaviors.Scientific reports · 2025Article
- Understanding social context in HIV and drug use via community-informed computational modeling: SILOS study protocol.Frontiers in public health · 2025Article
- Network canvas: an open-source tool for capturing social and contact network data.International journal of epidemiology · 2023Article
- Social Network Diversity and Mental Health Among Mothers of Individuals With Autism.American journal on intellectual and developmental disabilities · 2023Article
- Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use.International journal of environmental research and public health · 2022Article
- Using the Think-Aloud Method to Assess the Feasibility and Acceptability of Network Canvas Among Black Men Who Have Sex With Men and Transgender Persons: Qualitative Analysis.JMIR formative research · 2021Article
- UsingSocial networks · 2021Article
- Network Canvas: Key decisions in the design of an interviewer assisted network data collection software suite.Social networks · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This paper examines the stability of egocentric networks as reported over time using a novel touchscreen-based participant-aided sociogram. Past work has noted the instability of nominated network alters, with a large proportion leaving and reappearing between interview observations. To explain this instability of networks over time, researchers often look to structural embeddedness, namely the notion that alters are connected to other alters within egocentric networks. Recent research has also asked whether the interview situation itself may play a role in conditioning respondents to what might be the appropriate size and shape of a social network, and thereby which alters ought to be nominated or not. We report on change in these networks across three waves and assess whether this change appears to be the result of natural churn in the network or whether changes might be the result of factors in the interview itself, particularly anchoring and motivated underreporting. Our results indicate little change in average network size across waves, particularly for indirect tie nominations. Slight, significant changes were noted between waves one and two particularly among those with the largest networks. Almost no significant differences were observed between waves two and three, either in terms of network size, composition, or density. Data come from three waves of a Chicago-based panel study of young men who have sex with men.
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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.