GROWING QAWM: AN EVIDENCE-DRIVEN DECLARATIVE MODEL OF AFGHAN POWER STRUCTURES
Open accessAbstract
By means of evidence-driven and declaratively implemented social simulation, we grow qawm — solidarity networks in Afghanistan. The study of qawm lends insight into the structural and processual dynamics of Afghan society. In particular, we concentrate on the evolution of power structures. An agent-based computational model is presented whose ontology borrows from neopatrimonialism, a notion of power prevalent in contemporary conflicts. In this model, agents' structural arrangement, behavior and cognition are informed by qualitative data derived from case studies on Afghanistan. The simulation results suggest that the emergence of qawm and, hence, the fragmentation of Afghan society are systemic and lead to a constant drain of resources. Cross-validation between the simulated network and a target system network reveals that qawm exhibit small world characteristics.
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Data from anthropology can supplement epidemiological and simulation research by supplying micro-level foundations for macro-level patterns.
“Anthropological data can complement epidemiological and simulation studies by providing microfoundations for macro-level observations (Agar, 2005; Dean et al., 2000; Geller & Moss, 2008; Tubaro & Casilli, 2010; Yang & Gilbert, 2008).”
From Syndemics: a theory in search of data or data in search of a theory? (2018) · cites this paper as Geller & Moss, 2008
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Merton, R. K. (2017) · Gangs · doi:10.4324/9781351157803-1 · Cited by 3,689 · see citing works
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Syndemics: a theory in search of data or data in search of a theory?
Tsai, A. C. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.03.040 · Cited by 185 · see citing works
- Authors
- GELLER, A., & MOSS, S.
- Affiliations
- Manchester Metropolitan University (GB)
- Venue
- Advances in Complex Systems
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 2008-04
- Volume
- 11
- Issue
- 02
- Pages
- 321-335
- ISSN
- 0219-5259 (ISSN-L)
- 1793-6802
- OpenAlex
- W2169812579
- Cited by
- 44
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 5 · 2015: 3 · 2014: 3 · 2013: 3 · 2012: 5
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Advances in Complex Systems (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Social Sciences › Political Science and International Relations › Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- Social Sciences › Sociology and Political Science › Political Conflict and Governance
- Keywords
- solidarity networks, power structures, neopatrimonialism, Afghan society, social fragmentation, agent-based modeling, social network growth, small-world networks, conflict
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