The DOI matches its Crossref record.
Graph Theory and Its Applications
Abstract
Already an international bestseller, with the release of this greatly enhanced second edition, Graph Theory and Its Applications is now an even better choice as a textbook for a variety of courses -- a textbook that will continue to serve your students as a reference for years to come.The superior explanations, broad coverage, and abundance
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
Dale, M. R. T., & Fortin, M.-J. (2010) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-102209-144718 · Cited by 265
On the origins of hierarchy in complex networks
Corominas-Murtra, B., Goñi, J., Solé, R. V., & Rodríguez-Caso, C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300832110 · Cited by 160
Taczanowska, K., González, L.-M., Garcia-Massó, X., Muhar, A., Brandenburg, C., & Toca-Herrera, J.-L. (2014) · Applied Geography · doi:10.1016/j.apgeog.2014.09.011 · Cited by 71
Efficient computation of the shapley value for centrality in networks
Aadithya, K. V., Ravindran, B., Michalak, T. P., & Jennings, N. R. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-17572-5_1 · Cited by 59
Evolving complexity: how tinkering shapes cells, software and ecological networks.
Solé, R., & Valverde, S. (2020) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0325 · Cited by 37
Visual-Based Human Crowds Behavior Analysis Based on Graph Modeling and Matching
Chen, D.-Y., & Huang, P.-C. (2013) · IEEE Sensors Journal · doi:10.1109/jsen.2013.2245889 · Cited by 31
Can visibility predict location? Visibility graph of food and drink facilities in the city
Natapov, A., Czamanski, D., & Fisher-Gewirtzman, D. (2013) · Survey Review · doi:10.1179/1752270613y.0000000057 · Cited by 21
A Structural Perspective on Visibility Patterns with a Topographic Surface
Jiang, B. (2005) · Transactions in GIS · doi:10.1111/j.1467-9671.2005.00230.x · Cited by 11
Analytical Capabilities of Graphs in Oracle Multimodel Database
Șimonca, I., Corbea, A., & Belciu, A. (2022) · Smart Innovation, Systems and Technologies · doi:10.1007/978-981-16-8866-9_9 · Cited by 2
Metadata
- Authors
- Gross, J. L., & Yellen, J.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2005-09-22
- OpenAlex
- W1567268701
- Cited by
- 1,582
- References
- 0
- FWCI
- 20.65
- Type
- book
- 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
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.
