The DOI matches its Crossref record.
Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software
Abstract
An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek). The main structural concepts and their applications in social research are introduced with exercises. Pajek software and datasets are available, so readers can learn network analysis through application and case studies. In the end readers will have the knowledge, skills, and tools to apply social network analysis across different disciplines. A fundamental redesign of the menu structure and the capability to analyze much larger networks required a new edition. This edition presents several new operations including community detection, generalized main paths searches, new network indices, advanced visualization approaches, and instructions for installing Pajek under MacOSX. This third edition is up-to-date with Pajek version 5 and it introduces PajekXXL for very large networks and Pajek3XL for huge networks.
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
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Dissemination and Implementation Research in HealthTranslating Science to Practice
Brownson, R. C., Colditz, G. A., & Proctor, E. K. (2012) · doi:10.1093/acprof:oso/9780199751877.001.0001 · Cited by 1,355
A Review of Theory and Practice in Scientometrics
Mingers, J., & Leydesdorff, L. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.04.002 · Cited by 1,002
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668
Metadata
- Authors
- De Nooy, W., Mrvar, A., & Batagelj, V.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2018-07-14
- OpenAlex
- W1947595544
- Cited by
- 2,052
- References
- 0
- FWCI
- 35.61
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software. https://app.cochat.ai/papers/10.1017/9781108565691
- The paper
- De Nooy, W., Mrvar, A., & Batagelj, V. (2018). Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software. Cambridge University Press eBooks. https://doi.org/10.1017/9781108565691
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.
