Survey Methods for Estimating the Size of Weak-Tie Personal Networks
Bibliographic Data
| ID | 6169960 |
|---|---|
| Authors | Dennis M Feehan (0000-0001-7008-4375, Department of Demography, University of California, Berkeley, Berkeley, CA, USA, corresponding author), Vo Hai Son (0000-0001-6106-9747, Vietnam Ministry of Health, Nam Tu Liem, Vietnam), Abu Abdul-Quader (0000-0001-7502-3520, U.S. Centers for Disease Control and Prevention Hanoi, Hanoi, Vietnam) |
| Year | 2022 |
| Volume | 52 |
| Issue | 2 |
| Pages | 193-219 |
| Publication date | 2022-07-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methodology (JOURNAL) |
| Journal identifiers | ISSN: 0081-1750 • E-ISSN: 1467-9531 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/00811750221109568 |
| OpenAlex | W4283805033 |
| Language | EN |
| Citations received | 7 |
| References cited | 34 |
Researchers increasingly use aggregate relational data to learn about the size and distribution of survey respondents’ weak-tie personal networks. Aggregate relational data are collected by asking questions about respondents’ connectedness to many different groups (e.g., “How many teachers do you know?”). This approach can be powerful, but to use aggregate relational data, researchers must locate external information about the size of each group from a census or administrative records (e.g., the number of teachers in the population). This need for external information makes aggregate relational data difficult or impossible to collect in many settings. Here, the authors show that relatively simple modifications can overcome this need for external data, significantly increasing the flexibility of the method and weakening key assumptions required by the associated estimators. The key idea is to estimate the size of these groups from the sample of survey respondents, rather than relying on external sources of information. These methods are appropriate for using a sample survey to study the size and distribution of weak-tie network connections. They can also be used as part of the network scale-up method to estimate the size of hidden populations. The authors illustrate this approach with two empirical studies: a large simulation study and original household survey data collected in Hanoi, Vietnam
Aggregate (composite · Aggregate data · Computer security · Data mining · Data science · Econometrics · Estimator · Flexibility (engineering · Key (lock · Population · Relational database · Sample (material · Sample size determination · Social connectedness · Sociology · Statistics · Survey data collection · Survey sampling · Complex Network Analysis Techniques · Computer Science · HIV, Drug Use, Sexual Risk · Mathematics · Psychology · Social Capital and Networks · Social Psychology
From hidden populations to social structure
Uses and limitations of dichotomous aggregate relational data
Size estimation of key populations and ‘bridge populations’ based on the network scale-up method in Ukraine
A comparison of top-coding strategies for aggregated relational data
The Measurement Properties of Aggregated Relational Data and NSUM-Estimated Network Size
Comparing the Robustness of Simple Network Scale-Up Method Estimators
Advances and innovations in methods for collecting egocentric network data
Egocentric Network Analysis
Model Assisted Survey Sampling
Stan
Calibration Estimators in Survey Sampling
How Many People Do You Know?
Randomized Response
How Many People Do You Know in Prison?
Recent Developments in Network Measurement
Practical Tools for Designing and Weighting Survey Samples
Complex Surveys
Comparing Two Methods for Estimating Network Size
A social network approach to estimating seroprevalence in the United States
The game of contacts
Two interpretations of reports of knowledge of subpopulation sizes
Contacts and influence
Eliciting representative samples of personal networks
Estimating the size of personal networks
Using an Online Sample to Estimate the Size of an Offline Population
When networks speak volumes
What Can We Learn with Statistical Truth Serum
Statistical Analysis of List Experiments
Generalizing the Network Scale-up Method
Estimating abortion incidence using the network scale-up method
Segregation in Social Networks Based on Acquaintanceship and Trust
The Strength of Weak Ties
| Unique citing works | 7 |
|---|---|
| Citations per year | 2,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |