The DOI matches its Crossref record.
Pajek— Analysis and Visualization of Large Networks
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Citations
Cited by
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., & Li, J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.014 · Cited by 371
Validity Issues in the Use of Social Network Analysis with Digital Trace Data
University of Texas at Austin, Howison, J., Wiggins, A., Syracuse University, Crowston, K., & Syracuse University (2011) · Journal of the Association for Information Systems · doi:10.17705/1jais.00282 · Cited by 369
Galpern, P., Manseau, M., & Fall, A. (2011) · Biological Conservation · doi:10.1016/j.biocon.2010.09.002 · Cited by 318
Huenteler, J., Schmidt, T. S., Ossenbrink, J., & Hoffmann, V. H. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.09.022 · Cited by 269
Mathematical models in microbial systems biology
Stelling, J. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.08.004 · Cited by 164
Tree-Like Structure in Large Social and Information Networks
Adcock, A. B., Sullivan, B. D., & Mahoney, M. W. (2013) · 2013 IEEE 13th International Conference on Data Mining · doi:10.1109/icdm.2013.77 · Cited by 141
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
The Architecture of the Human RNA-Binding Protein Regulatory Network
Quattrone, A., & Dassi, E. (2019) · iScience · doi:10.1016/j.isci.2019.10.058 · Cited by 53
Shen, Y., Kim, A. L., Du, R., & Liu, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163054 · Cited by 24
Metadata
- Authors
- Batagelj, V., & Mrvar, A.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2002
- Pages
- 477-478
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1502432690
- Cited by
- 708
- References
- 0
- FWCI
- 32.86
- Type
- conference paper
- 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.
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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.
