Thinking through networks: a review of formal network methods in archaeology
Thinking through networks: a review of formal network methods in archaeology
This review aims to expose the potential of formal network methods for archaeology by tracing the origins of the academic traditions, network models and techniques that have been most influential to archaeologists. A brief discussion of graph theoretic applications in archaeology reveals how graph visualization and analysis was used since the 1960’s in a very similar way to later network analysis applications but did not seem to have influenced the more widespread adoption of network techniques over the past decade. These recent archaeological applications have been strongly influenced by two academic traditions, social network analysis and socio-physics. The most influential and promising techniques and models adopted from these traditions are critically discussed. This review reveals some general trends which are considered to be the result of two critical issues that will need to be addressed in future archaeological network analysis: (1) a general unawareness of the historicity and diversity of formal network methods both within and outside the archaeological discipline has resulted in a very limited methodological scope; (2) the adoption or development of network methods has very rarely been driven by specific archaeological research questions and is dominated by a few popular models and techniques, which has in some cases resulted in a routinized explanatory process. This review illustrates, however, the great potential of formal network methods for archaeology and argues that, if this potential is to be applied in a critical way, a broad multi-disciplinary scope is necessary and specific archaeological research contexts should dominate applications
complex networks, social networks, networks, graphs, archaeology
623-662
Brughmans, Tom
4e474b05-a9a5-47dc-8c2d-3594557f589b
December 2013
Brughmans, Tom
4e474b05-a9a5-47dc-8c2d-3594557f589b
Brughmans, Tom
(2013)
Thinking through networks: a review of formal network methods in archaeology.
Journal of Archaeological Method and Theory, 20 (4), .
(doi:10.1007/s10816-012-9133-8).
Abstract
This review aims to expose the potential of formal network methods for archaeology by tracing the origins of the academic traditions, network models and techniques that have been most influential to archaeologists. A brief discussion of graph theoretic applications in archaeology reveals how graph visualization and analysis was used since the 1960’s in a very similar way to later network analysis applications but did not seem to have influenced the more widespread adoption of network techniques over the past decade. These recent archaeological applications have been strongly influenced by two academic traditions, social network analysis and socio-physics. The most influential and promising techniques and models adopted from these traditions are critically discussed. This review reveals some general trends which are considered to be the result of two critical issues that will need to be addressed in future archaeological network analysis: (1) a general unawareness of the historicity and diversity of formal network methods both within and outside the archaeological discipline has resulted in a very limited methodological scope; (2) the adoption or development of network methods has very rarely been driven by specific archaeological research questions and is dominated by a few popular models and techniques, which has in some cases resulted in a routinized explanatory process. This review illustrates, however, the great potential of formal network methods for archaeology and argues that, if this potential is to be applied in a critical way, a broad multi-disciplinary scope is necessary and specific archaeological research contexts should dominate applications
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Published date: December 2013
Keywords:
complex networks, social networks, networks, graphs, archaeology
Organisations:
Archaeology
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Local EPrints ID: 336991
URI: http://eprints.soton.ac.uk/id/eprint/336991
ISSN: 1072-5369
PURE UUID: af8f8551-aba5-44c4-8484-30964edcc46d
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Date deposited: 13 Apr 2012 07:42
Last modified: 14 Mar 2024 10:49
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Author:
Tom Brughmans
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