Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 341

The DOI matches its Crossref record.

Advances in exponential random graph (p*) models applied to a large social network

Open access
Goodreau, Steven M.·2007·Social Networks
DOI 10.1016/j.socnet.2006.08.001
Open this paper in CoChat — free account

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.socnet.2006.08.001

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.

A few free checks a day · papers already verified open instantly · results are public

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

No references could be resolved yet.

Research works printed but not linked: 15

  1. Besag, 1974, Spatial interaction and the statistical analysis of lattice systems, Journal of the Royal Statistical Society B, 36, 192, 10.1111/j.2517-6161.1974.tb00999.x · DOI · Paper page
  2. Besag, 1986, On the statistical analysis of dirty pictures, Journal of the Royal Statistical Society Series B, 48, 259, 10.1111/j.2517-6161.1986.tb01412.x · DOI · Paper page
  3. Frank, 1986, Markov graphs, Journal of the American Statistical Association, 81, 832, 10.2307/2289017 · DOI
  4. Geyer, 1994, On the convergence of Monte Carlo maximum likelihood calculations, Journal of the Royal Statistical Society Series B, 56, 261, 10.1111/j.2517-6161.1994.tb01976.x · DOI · Paper page
  5. Geyer, 1992, Constrained Monte Carlo maximum likelihood for dependent data, Journal of the Royal Statistical Society Series B, 54, 657, 10.1111/j.2517-6161.1992.tb01443.x · DOI · Paper page
  6. Hunter, D.R., 2006. Curved Exponential Family Models for Social Networks. Social Networks, doi:10.1016/j.socnet.2006.08.005. · DOI · Paper page
  7. Hunter, 2006, Inference in curved exponential family models for networks, Journal of Computational and Graphical Statistics, 15, 565, 10.1198/106186006X133069 · DOI · Paper page
  8. Pattison, 2002, Neighbourhood-based models for social networks, Sociological Methodology, 32, 301, 10.1111/1467-9531.00119 · DOI · Paper page
  9. Resnick, 1997, Protecting adolescents from harm. Findings from the National Longitudinal Study on Adolescent Health., Journal of the American Medical Association, 278, 823, 10.1001/jama.278.10.823 · DOI · Paper page
  10. Robins, 2007, An introduction to exponential random graph (p*) models for social networks, Social Network, 29, 173, 10.1016/j.socnet.2006.08.002 · DOI · Paper page
  11. Robins, 2007, Recent developments in exponential random graph (p*) models for social networks, Social Networks, 29, 192, 10.1016/j.socnet.2006.08.003 · DOI · Paper page
  12. Snijders, 2002, Markov chain Monte Carlo estimation of exponential random graph models, Journal of Social Structure, 3, 2
  13. Snijders, T.A.B., Pattison, P., Robins, G.L., Handcock, M., in press. New specifications for exponential random graph models. Sociological Methodology, 36. · DOI · Paper page
  14. Strauss, 1990, Pseudo-likelihood estimation for social networks, Journal of the American Statistical Association, 85, 204, 10.2307/2289546 · doi:10.2307/2289546
  15. Wasserman, 1996, Logit models and logistic regressions for social networks. I. An introduction to Markov graphs and p*, Psychometrika, 60, 401, 10.1007/BF02294547 · DOI · Paper page

Cited by

See all 341

Metadata

Authors
Goodreau, S. M.
Venue
Social Networks
Publisher
Elsevier BV
Published
2007-05
Volume
29
Issue
2
Pages
231-248
ISSN
0378-8733 (ISSN-L)
DOI
10.1016/j.socnet.2006.08.001
OpenAlex
W2144728346
Cited by
341
References
0
FWCI
8.45
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Advances in exponential random graph (p*) models applied to a large social network. https://app.cochat.ai/papers/10.1016/j.socnet.2006.08.001
The paper
Goodreau, S. M. (2007). Advances in exponential random graph (p*) models applied to a large social network. Social Networks. https://doi.org/10.1016/j.socnet.2006.08.001

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.