Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 407

The DOI matches its Crossref record.

Mean-Field Solution of the Small-World Network Model

Open access
Newman, M. E. J., Moore, C., Watts, D. J.·2000·Physical Review Letters

Abstract

The small-world network model is a simple model of the structure of social networks, which possesses characteristics of both regular lattices and random graphs. The model consists of a one-dimensional lattice with a low density of shortcuts added between randomly selected pairs of points. These shortcuts greatly reduce the typical path length between any two points on the lattice. We present a mean-field solution for the average path length and for the distribution of path lengths in the model. This solution is exact in the limit of large system size and either a large or small number of shortcuts.

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 · 10.1103/physrevlett.84.3201

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

Cited by

See all 407

Metadata

Authors
Newman, M. E. J., Moore, C., & Watts, D. J.
Venue
Physical Review Letters
Published
2000-04-03
Volume
84
Issue
14
Pages
3201-3204
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2142794306
Cited by
407
References
0
FWCI
14.94
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

How to cite

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

This page
CoChat. (2026). Citation check: Mean-Field Solution of the Small-World Network Model. https://app.cochat.ai/papers/10.1103/physrevlett.84.3201
The paper
Newman, M. E. J., Moore, C., & Watts, D. J. (2000). Mean-Field Solution of the Small-World Network Model. Physical Review Letters. https://doi.org/10.1103/physrevlett.84.3201

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.