The DOI matches its Crossref record.
Emergent Actors in World Politics: How States and Nations Develop and Dissolve
Abstract
The disappearance and formation of states and nations after the end of the Cold War have proved puzzling to both theorists and policy-makers. Cedarman argues that this lack of conceptual preparation stems from two tendencies in conventional theorizing: firstly, the dominant focus on cohesive nation-states as the only actors of world politics obscures crucial differences between the state and the nation; secondly, traditional theory usually treats these units as fixed. This book presents complex adaptive systems modelling as a way of analyzing world politics. It provides a series of models, computerized thought-experiments, that separate the state from the nation and incorporate these as emergent rather than preconceived actors.
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
International Norm Dynamics and Political Change
Finnemore, M., & Sikkink, K. (1998) · International Organization · doi:10.1162/002081898550789 · Cited by 8,292
The Dissemination of Culture: A Model with Local Convergence and Global Polarization
Axelrod, R. (1997) · Journal of Conflict Resolution · doi:10.1177/0022002797041002001 · Cited by 1,918
Why Do Ethnic Groups Rebel? New Data and Analysis
Cederman, L.-E., Wimmer, A., & Min, B. (2010) · World Politics · doi:10.1017/s0043887109990219 · Cited by 1,346
Self-citationCooperative Multi-Agent Learning: The State of the Art
Panait, L., & Luke, S. (2005) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-005-2631-2 · Cited by 1,237
Inequality, Grievances, and Civil War
Cederman, L.-E., Gleditsch, K. S., & Buhaug, H. (2013) · doi:10.1017/cbo9781139084161 · Cited by 978
Self-citation
Metadata
- Authors
- Cederman, L.-E.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 1997-12-31
- OpenAlex
- W1977941111
- Cited by
- 411
- References
- 0
- FWCI
- 11.56
- 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: Emergent Actors in World Politics: How States and Nations Develop and Dissolve. https://app.cochat.ai/papers/10.1515/9780691218038
- The paper
- Cederman, L.-E. (1997). Emergent Actors in World Politics: How States and Nations Develop and Dissolve. Princeton University Press eBooks. https://doi.org/10.1515/9780691218038
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.