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SUMMARY:Networks and Resilience – The impact of connectivity on ancient 
 societies - Deborah Priß\, Department of Geography\, University of Durham
  
DTSTART:20230515T150000Z
DTEND:20230515T163000Z
UID:TALK200677@talks.cam.ac.uk
CONTACT:Simon Carrignon
DESCRIPTION:Network analysis has been increasingly used in archaeology dur
 ing the last two decades and is a promising approach to understanding past
 . However\, doing network analysis adds another layer of difficulty becaus
 e not only the data’s sparseness often presents a problem for several ne
 twork metrics and models but also defining the network itself can be chall
 enging.\n\nMesopotamian hollow ways are physical remains of past people’
 s movements and can tell us about the connectivity of the societies that p
 roduced them. They are structures that\, in theory\, lend themselves well 
 for network analysis: physical edges that connect sites\, i.e. nodes\, wit
 h each other. However\, these data are partial\, with gaps in the routes\,
  and the settlement record is – as far as we know – far from complete.
 \n\nIn this paper\, we present computational methods to enhance fragmented
  archaeological data. Two algorithms were developed to overcome the issue 
 of missing data for a) the network of Bronze-Age hollow ways in Mesopotami
 a and b) the settlement system for the same period and region. The improve
 d data sets will be used as the input of exponential random graph models (
 ERGM) and agent-based-models (ABM) both of which will be described as well
 .\n
LOCATION:McDonald Institute Seminar Room\, Department of Archaeology\, Dow
 ning Site
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