Cited by 933Complex Network Analysis TechniquesHealth disparities and outcomesCommunity Health and Development

The DOI matches its Crossref record, with a small difference in title or year; 297 of the 297 references it cites were found in a registry or an index.

Social Networks and Health: Models, Methods, and Applications

Abstract

Social Networks and Health provides a comprehensive introduction to how social networks influence health behaviors. Section one provides an introduction to major research themes and perspectives used to understand how networks form, evolve, and channel the spread of ideas and behaviors. An intellectual history of the field is provided as well as conjectures on why network science took so long to develop. Methodologies for studying networks and assessing personal network data are discussed. Section two covers algorithms and applications of the most common network metrics divided into four chapters: centrality, groups, positions, and network level. For each chapter, descriptions of how the metrics are calculated and how they influence health behavior are presented. Section three reviews applications of social network analysis to health behaviors. The actor-oriented stochastic evolution model is presented first which provides a way to statistically test network evolution properties. Diffusion of innovations models are presented next which describe how networks influence the spread of ideas and practices within and between communities. Network interventions are also presented and a typology describing network interventions and evidence from empirical studies presented. This book enables researchers to understand how network data are collected and processed; and how to calculate appropriate metrics and models used to understand network influences on health behavior. Simple examples and data are presented throughout so researchers can adopt this methodology and perspective in their own investigations. Examples of health behaviors include smoking, substance use, contraception, HIV/AIDS, obesity, and many others.

Overview

Integrity signals

Registry

Crossref · 10.1093/acprof:oso/9780195301014.001.0001

Cites

297 of 297 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 297 references

Research works printed but not linked: 38

  1. Bandura,, 1986, Social foundations of thought and action: A social cognitive theory
  2. Banks,, 1997, Evolutions of Social Networks
  3. Barrera,, 1983, The structure of social support: A conceptual and empirical analysis., Journal of Community Psychology,, 10.1002/1520-6629(198304)11:2〈133::AID-JCOP2290110207〉3.0.CO;2-L · DOI
  4. Borgatti,, 2002, NetDraw: Graph visualization software
  5. Borgatti,, 2006, UCINET VI for Windows: Software for social network analysis
  6. Broadhead,, 1998, Harnessing peer networks as an instrument for raids prevention: Results from a peer-driven intervention., Public Health Reports,
  7. Cornwell,, 2005, A complement-derived centrality index for disconnected graphs., Connections,
  8. Doreian,, 1997, Evolutions of social networks
  9. Fujimoto,, Network structural influences on the adoption of evidenced-based prevention in communities., Journal of Community Psychology
  10. Gilmore,, 1998, In cold pursuit: Medical intelligence investigates the common cold
  11. Harary,, 1965, Structural models: An introduction to the theory of directed graphs
  12. Klovdahl,, 1989, The small world
  13. Knoke,, 1982, Network analysis
  14. Koschützki,, 2005, Network analysis: Methodological foundations
  15. Krebs,, 2002, Mapping networks of terrorists cells., Connections,
  16. Latkin,, 1998, Outreach in natural setting: The use of peer leaders for HIV prevention among injecting drug users’ networks., Public Health Reports,
  17. Laumann,, 1983, Applied network analysis.
  18. Marsden,, 1990, Dynamic analysis of network diffusion processes.
  19. McGrath,, 2002, Visualizing complexity in networks: Seeing both the forest and the trees., Connections,
  20. Milgram,, 1967, The small world problem., Psychology Today,
  21. Mizruchi, M. (1982). The structure of the American corporate network: 1904-1974. Thesis (Ph.D.), State University of New York at Stony Brook.
  22. Murray,, 1998, Design and analysis of group-randomized trial.
  23. Namboodori,, 1983, Matrix algebra.
  24. Nohria,, 1992, Networks and organizations: Structure, form and action
  25. Palmore,, 1967, Sociological contributions to family planning research
  26. Park,, 1974, Mothers’ clubs and family planning in Korea.
  27. Rice,, 1982, Communication networking in computer-conferencing systems: A longitudinal study of groups, roles, and system structure. In M. Gurgoon (Ed., Communication Yearbook,
  28. Rice,, 2003, Peer network, sensation seeking, and drug use among junior and senior high school students., Connections,
  29. Robins,, 2005, Models and methods in social network analysis
  30. Rogers,, 1962, Diffusion of innovation
  31. Rogers,, 1981, Communication networks: A new paradigm for research
  32. Scott,, 2000, Network analysis: A handbook
  33. Shaw,, 1971, Group dynamics
  34. Snijders,, 2005, Models and methods in social network analysis
  35. Snijders,, 2007, Manual for SIENA, version 3.
  36. Valente,, 2005, Models and methods in social network analysis
  37. Valente,, 2007, The Sage handbook of advanced data analysis methods for communication research
  38. Valente,, 2008, How correlated are centrality measures, Connections,

Cited by

Sorted by citations

Metadata

Authors
Valente, T. W.
Affiliations
University of Southern California (US)
Corresponding author
Valente, Thomas W.
Published
2010-02-25
OpenAlex
W2492628744
Cited by
933
References
297
Citations by year
2026: 69 · 2025: 74 · 2024: 52 · 2023: 58 · 2022: 65 · 2021: 74 · 2020: 61 · 2019: 64 · 2018: 82 · 2017: 62 · 2016: 68 · 2015: 52 · 2014: 54 · 2013: 37 · 2012: 33
FWCI
7.65
Type
book
Language
en
Open access
closed
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Community Health and Development
Keywords
social networks, health behavior, social network analysis, network metrics, centrality, network position, network evolution, diffusion of innovations, network intervention, smoking, substance use, contraception, HIV/AIDS, obesity

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