Forgetting in the recall-based elicitation of personal and social networks
By Devon D. Brewer. Soc. Networks, 2000
359 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/db77d48fb5d9213fd8dc4e39da70e0a2006604d4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Christopher McCarty
- Alexandra Marin
- Peter V. Marsden
- Matthew J. Salganik
- Kristina Lerman
- Ronald S. Burt
- Mads Haahr
- Elizabeth M. Daly
In Statistical and Nonlinear Physics
- Christopher McCarty
- Peter V. Marsden
- Alexandra Marin
- Matthew J. Salganik
- Kristina Lerman
- Mads Haahr
- Elizabeth M. Daly
- Tad Hogg
Citations in the corpus
- Are respondents more likely to list alters with certain characteristics?: Implications for name generator data (2004, background): “Respondents in whole network studies are more likely to remember stronger ties (Brewer, 1995, 2000; Brewer and Yang, 19943), or those alters with whom they had frequent contact, knew well, or had seen recently (Hammer, 1984).”
- Egocentric and sociocentric measures of network centrality (2002, background): “Research on forgetting (Brewer, 2000; Brewer and Webster, 1999) shows that survey respondents do not recall a substantial fraction of the contacts they subsequently recognize.”
- Supplementary Interviewing Techniques to Maximize Output in Free Listing Tasks (2002, background): “Field Methods, Vol. 14, No. 1, February 2002 108–118 © 2002 Sage Publications 108 mants list some items they didn’t mention in the initial free listing interview (a phenomenon called reminiscence) (Brown 1923; Lazar and Buschke 1972; Brewer 2000).”
- Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006, background): “Currently, the estimated average degree depends on subjects’ self-reported degree, and these reports may be inaccurate.(26,27) In almost all cases, inaccuracy in the self-reported degree will introduce bias into the prevalence estimates.”
- Structure in Personal Networks (2002, positive): “Although free- listing of network members presents some problems with recall and the exclusion of weak ties (Brewer, 2000), expanding the list of network members to 60 from the typical 5 to 10 yields a more representative sample of the total personal network.”