2013
DOI: 10.1558/jmea.v26i2.235
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A Network Approach to Hellenistic Sculptural Production

Abstract: Recent advances in network theory have facilitated the collection and analysis ofarchaeolo^cal data in new ways, with significant implications for the detection of social networks and transmission of information in the ancient world. These new models invite a reassessment of the diffusion of information and organization of artistic production that has long been based on physical mobility and familial organization of workshops. This article applies network analysis to a corpus of sculptors'signatures from the H… Show more

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Cited by 28 publications
(4 citation statements)
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“…29 These small world networks have been found to be the most conducive to the efficient transfer of information. 30 In order to determine if a network is dense, random, or small world in nature, different algorithms can quantify aspects of the network that can, in turn, help to understand the structure.…”
Section: Methods Of Social Network Analysismentioning
confidence: 99%
“…29 These small world networks have been found to be the most conducive to the efficient transfer of information. 30 In order to determine if a network is dense, random, or small world in nature, different algorithms can quantify aspects of the network that can, in turn, help to understand the structure.…”
Section: Methods Of Social Network Analysismentioning
confidence: 99%
“…These include an analysis of Roman provincial communication networks (Graham 2006) and a range of social network reconstructions (e.g. Larson 2013, Munson et al 2014, Cline and Cline 2015.…”
Section: Network Perspectives In Archaeological Practicementioning
confidence: 99%
“…The practical impact of network thinking is evident in the boom that began in the mid-to late 2000s and continues apace. Classical archaeology may at times appear behind the vanguard of innovative methodological approaches compared to other branches of the discipline, but this field too has been quite active in the uptake of network approaches drawing from complexity science as well as social network analysis (SNA) (e.g., Graham 2006;Isaksen 2008;Larson 2013).…”
Section: We Are Sailing (Or Canoeing)mentioning
confidence: 99%