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J Archaeol Method Theory. 2018;25(1):226-253. doi: 10.1007/s10816-017-9335-1. Epub 2017 Apr 21.

Reconstructing Archaeological Networks with Structural Holes.

Journal of archaeological method and theory

Viviana Amati, Termeh Shafie, Ulrik Brandes

Affiliations

  1. Department of Computer & Information Science, University of Konstanz, 78457 Konstanz, Germany.

PMID: 29431155 PMCID: PMC5797198 DOI: 10.1007/s10816-017-9335-1

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.

Keywords: Closure theory; Exponential random graph models; Network reconstruction; Structural holes theory

Conflict of interest statement

Compliance with Ethical StandardsThis research is part of the project NEXUS1492 (http://www.nexus1492.eu/?lang=en), which is funded by the European Research Council under the European Union’s Seventh

References

  1. Proc Natl Acad Sci U S A. 2013 Apr 9;110(15):5785-90 - PubMed
  2. Science. 1983 May 13;220(4598):671-80 - PubMed
  3. J Stat Softw. 2013 Feb 1;52(2):i02 - PubMed
  4. Electron J Stat. 2012;6:1100-1128 - PubMed
  5. J Stat Softw. 2008 May 1;24(3):nihpa54860 - PubMed

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