Reconstructing Archaeological Networks with Structural Holes

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2018
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Journal of Archaeological Method and Theory ; 25 (2018), 1. - pp. 226-253. - ISSN 1072-5369. - eISSN 1573-7764
Abstract
Model-based reconstruction is an approach to infer network structures where they cannot be observed. For archaeological networks, several models based on assumptions concerning distance among sites, site size, or costs and benefits have been proposed to infer missing ties. Since these assumptions are formulated at a dyadic level, they do not provide means to express dependencies among ties and therefore include less plausible network scenarios. In this paper we investigate the use of network models that explicitly incorporate tie dependence. In particular, we consider exponential random graph models, and show how they can be applied to reconstruct networks coherent with Burt's arguments on closure and structural holes (Burt 2001). The approach is illustrated on data from the Middle Bronze Age in the Aegean.
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004 Computer Science
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Network reconstruction, Structural holes theory, Closure theory, Exponential random graph models
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ISO 690AMATI, Viviana, Termeh SHAFIE, Ulrik BRANDES, 2018. Reconstructing Archaeological Networks with Structural Holes. In: Journal of Archaeological Method and Theory. 25(1), pp. 226-253. ISSN 1072-5369. eISSN 1573-7764. Available under: doi: 10.1007/s10816-017-9335-1
BibTex
@article{Amati2018-03Recon-39739,
  year={2018},
  doi={10.1007/s10816-017-9335-1},
  title={Reconstructing Archaeological Networks with Structural Holes},
  number={1},
  volume={25},
  issn={1072-5369},
  journal={Journal of Archaeological Method and Theory},
  pages={226--253},
  author={Amati, Viviana and Shafie, Termeh and Brandes, Ulrik}
}
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