The DOI matches its Crossref record.
Interacting Particle Systems
Abstract
But, their behavior, like that exhibited by the galaxy in the figure above, could never be modeled by a standard particle system. This is simply because the be- haviors arise from the complex gravitational interactions that the heavenly bodies all exert on each other. Because of these attractions, moons orbit planets, planets orbit their suns, and suns group together to form spiral or globular galaxies. In turn, the gravity of these galaxies affects all of the other galaxies. The resulting complex patterns of motion, across many orders of magnitude of scale, could not possibly arise without the forces of interaction.
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
Cited by
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
Snippert, H. J., van der Flier, L. G., Sato, T., van Es, J. H., van den Born, M., Kroon-Veenboer, C., Barker, N., Klein, A. M., van Rheenen, J., Simons, B. D., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.016 · Cited by 1,951
Homophily and contagion are generically confounded in observational social network studies
Shalizi, C. R., & Thomas, A. C. (2011) · Sociological Methods & Research · doi:10.1177/0049124111404820 · Cited by 994
Social Interactions, Local Spillovers and Unemployment
Topa, G. (2001) · The Review of Economic Studies · doi:10.1111/1467-937x.00169 · Cited by 733
Nonequilibrium phase transition in the coevolution of networks and opinions
Holme, P., & Newman, M. E. J. (2006) · Physical Review E · doi:10.1103/physreve.74.056108 · Cited by 621
Metadata
- Venue
- Foundations of Physically Based Modeling and Animation
- Publisher
- A K Peters/CRC Press
- Published
- 2016-11-30
- Pages
- 101-134
- OpenAlex
- W1521233381
- Cited by
- 3,267
- References
- 0
- FWCI
- 416.06
- Type
- book chapter
- Language
- en
- Open access
- closed
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: Interacting Particle Systems. https://app.cochat.ai/papers/10.1201/9781315373140-16
- The paper
- Interacting Particle Systems. (2016). Foundations of Physically Based Modeling and Animation. https://doi.org/10.1201/9781315373140-16
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.