The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Cloning Headless Frogs and Other Important Matters: Conversation Topics and Network Structure
Open accessAbstract
This article considers which people talk about important matters, what people talk about when they discuss “important matters,” and the implications of conversation topic for the interpretation of results arising from the General Social Survey (GSS) network instrument based on the “important matters” name generator. We show that half the people who report not talking about anything have nothing to talk about, whereas the others have no one to talk to. Secondly, we show that people tend to talk about things that many would regard as unimportant, for example, cloning of headless frogs, eating less red meat, and so on. Given this, the connection between characteristics of discussion networks and achievement of instrumental ends — for example, getting a job or enhancing social support — is tenuous. Finally, we show that there is substantial topic-alter dependency. This dependency suggests that many substantive findings reported about, for example, gender differences in network composition might be an artifact of the data-collection instrument. Micro-level topic-alter dependencies reflect macro-level associations between attributes, topics, and roles. Consequently, cross-cultural comparison of GSS network questions is problematic. Solutions for escaping these methodological dilemmas are proposed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Social Capital in the Creation of Human Capital
COLEMAN, J. (2000) · Knowledge and Social Capital · doi:10.1016/b978-0-7506-7222-1.50005-2 · Cited by 21,666
Hapeman, D. E. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,373
Suicide: A study in sociology.
Durkheim, E. (2004) · Comprehending suicide: Landmarks in 20th–century suicidology. · doi:10.1037/10406-003 · Cited by 3,944
Sivia, D. S. (1996) · Cited by 2,669
To Dwell among Friends: Personal Networks in Town and City.
Roberts, B., & Fischer, C. S. (1984) · Social Forces · doi:10.2307/2578889 · Cited by 1,929
Core Discussion Networks of Americans
Marsden, P. V. (1987) · American Sociological Review · doi:10.2307/2095397 · Cited by 1,921
Thoits, P. A. (1983) · American Sociological Review · doi:10.2307/2095103 · Cited by 1,361
Structural Determinants of Men's and Women's Personal Networks
Moore, G. (1990) · American Sociological Review · doi:10.2307/2095868 · Cited by 930
Fischer, C. S. (1982) · Cited by 666
Cited by
Social Isolation in America: Changes in core discussion networks over two decades.
McPherson, M., Smith-Lovin, L., & Brashears, M. E. (2006) · American Sociological Review · doi:10.1177/000312240607100301 · Cited by 1,887
The Social Connectedness of Older Adults: A National Profile
Cornwell, B., Laumann, E. O., & Schumm, L. P. (2008) · American Sociological Review · doi:10.1177/000312240807300201 · Cited by 941
Unanticipated Gains: Origins of Network Inequality in Everyday Life
Small, M. L. (2009) · doi:10.1093/acprof:oso/9780195384352.001.0001 · Cited by 732
Changing climates of conflict: A social network experiment in 56 schools
Paluck, E. L., Shepherd, H., & Aronow, P. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514483113 · Cited by 610
Cultural Holes: Beyond Relationality in Social Networks and Culture
Pachucki, M. A., & Breiger, R. L. (2010) · Annual Review of Sociology · doi:10.1146/annurev.soc.012809.102615 · Cited by 531
Social Network Analysis: An Introduction
Marin, A., & Wellman, B. (2014) · The SAGE Handbook of Social Network Analysis · doi:10.4135/9781446294413.n2 · Cited by 526
Marin, A., & Hampton, K. N. (2007) · Field Methods · doi:10.1177/1525822x06298588 · Cited by 373
The Meaning Structure of Social Networks
Fuhse, J. A. (2009) · Sociological Theory · doi:10.1111/j.1467-9558.2009.00338.x · Cited by 356
Social Networks in the NSHAP Study: Rationale, Measurement, and Preliminary Findings
Cornwell, B., Schumm, L. P., Laumann, E. O., & Graber, J. (2009) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/gbp042 · Cited by 320
What's in the “old boys” network? Accessing social capital in gendered and racialized networks
McDonald, S. (2011) · Social Networks · doi:10.1016/j.socnet.2011.10.002 · Cited by 304
Hampton, K. N., Sessions, L. F., & Her, E. J. (2011) · Information, Communication & Society · doi:10.1080/1369118x.2010.513417 · Cited by 293
Formalist and Relationalist Theory in Social Network Analysis
Erikson, E. (2013) · Sociological Theory · doi:10.1177/0735275113501998 · Cited by 263
The 2004 GSS Finding of Shrunken Social Networks: An Artifact?
Fischer, C. S. (2009) · American Sociological Review · doi:10.1177/000312240907400408 · Cited by 259
Real and perceived attitude agreement in social networks.
Goel, S., Mason, W., & Watts, D. J. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0020697 · Cited by 219
“It could turn ugly”: Selective disclosure of attitudes in political discussion networks
Cowan, S. K., & Baldassarri, D. (2018) · Social Networks · doi:10.1016/j.socnet.2017.04.002 · Cited by 169
Homeostasis revisited: patterns of stability and rebalancing in older adults' social lives
Cornwell, B., Goldman, A., & Laumann, E. O. (2021) · The Journals of Gerontology: Series B · doi:10.1093/geronb/gbaa026 · Cited by 58
Political isolation in America
Lee, B., & Bearman, P. (2020) · Network Science · doi:10.1017/nws.2020.9 · Cited by 26
Self-citationThe great refusal: The west, the rest, and the new regulations on homosexuality, 1970–2015
Ferguson, J. L. (2022) · American Journal of Sociology · doi:10.1086/723107 · Cited by 23
Network recall among older adults with cognitive impairments
Roth, A. R., Peng, S., Coleman, M. E., Finley, E., & Perry, B. L. (2021) · Social Networks · doi:10.1016/j.socnet.2020.08.005 · Cited by 16
Metadata
- Authors
- Bearman, P., & Parigi, P.
- Venue
- Social Forces
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-12-01
- Volume
- 83
- Issue
- 2
- Pages
- 535-557
- ISSN
- 0037-7732 (ISSN-L)
- 1534-7605
- OpenAlex
- W2036379087
- Cited by
- 324
- References
- 19
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.