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Networks, Agent-Based Models and the Antonine Itineraries: Implications for Roman Archaeology

Graham, Shawn·2007·Journal of Mediterranean Archaeology

Abstract

This paper presents a way of looking at Roman space from a Roman perspective, and suggests ways in which this point of view might open up new approaches in Roman archaeology. It turns on one conception of Roman space in particular, preserved for us in the Antonine Itineraries. Working from a position that considers the context of the itineraries as movement-through-space, this paper presents an investigation using social network analysis and agent-based simulation to re-animate the itineraries. The itineraries for Iberia, Gaul, Italy, and Britain are considered. The results of the social network analysis suggest structural differences in the way that the itineraries presented space to the reader/traveler. The results of the simulation of information diffusion through these regions following the routes in the itineraries suggest ways that this conception of space affected the cultural and material development of these regions. Suggestions for extending the basic model for more complicated archaeological analyses are presented.

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Crossref · 10.1558/jmea.2006.19.1.45

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  • Advanced approaches such as agent-based models, systems of nonlinear equations, stochastic simulations, and iterative optimisation techniques come with heavy demands on computational resources and parameter supply, limiting them to singular case studies.

    “Attempts to more fully capture the complex interaction and evolution dynamics of networks have been undertaken with considerable success in archaeology; by advanced means such as agent-based models (ABM), systems of nonlinear equations and stochastic simulations (e.g.Graham, 2006;Wilkinson et al., 2007;Bevan and Wilson, 2013;Lawall and Graham, 2018;see Evans, 2018 for an overview), and iterative”

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Metadata

Authors
Graham, S.
Venue
Journal of Mediterranean Archaeology
Published
2007-03-15
Volume
19
Issue
1
Pages
45-64
ISSN
  • 1743-1700
  • 0952-7648
Cited by
64
References
1

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