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The seeds of commerce: A network analysis-based approach to the Romano-British transport system

机译:商业的种子:基于网络分析的罗马诺-英国运输系统方法

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Communication routes are an important subject in the study of the human past. They allowed interactions between communities and the dispersal of goods and ideas. Their study, therefore, can shed light on the way in which communities inhabited the landscape, related to each other and were affected by macro-regional trends. Many methods, such as archaeomorphological analysis and Least Cost Route modelling (LCR), have been devised and are routinely employed for the reconstruction of ancient routes. Their analysis in terms of communication, trade or historical significance, however, has usually been left unexplored. This is probably due to the connected nature of routes, which form communication networks: these are shaped by interconnected nodes and extend over territories surpassing the regional scale in such a way that even a change in a single node or link can affect the whole network. Consequently, the partial reconstruction of communication networks provided by the aforementioned methods does not usually allow a holistic analysis. In this paper the relatively well understood British Roman road network is employed to explore the analytical possibilities offered by a combination of Social Network Analysis, Spatial Network Analysis and spatial interpolation-based distribution analysis. The British road network has been reconstructed using published data but also a variation of LCR in which cost surfaces are derived from cultural data obtained from large-scale cultural inventories. The distribution of introduced food plants during the Roman period serve as an excellent proxy for the study of trade along the network and its historical consequences. This multi-period archaeobotanical dataset has some evident advantages to other types of material remains: archaeobotanical remains are not reused as, for example, amphorae and, accordingly, they reflect a distribution pattern based on consumption or commerce. Some of them are imported (as they cannot be produced locally) and, consequently, their distribution would be applied through usage of the main routes.
机译:交流路线是研究人类过去的重要课题。他们允许社区之间的互动以及商品和思想的传播。因此,他们的研究可以揭示社区居住的方式,彼此之间的联系并受到宏观区域趋势的影响。已经设计出许多方法,例如考古地貌学分析和最低成本路线模型(LCR),并通常用于重建古代路线。然而,他们通常在交流,贸易或历史意义方面的分析尚待探索。这可能是由于形成通信网络的路线具有连通性:它们由相互连接的节点形成,并在超出区域范围的区域内延伸,以至于即使单个节点或链路发生变化也可以影响整个网络。因此,由前述方法提供的通信网络的部分重建通常不允许整体分析。在本文中,使用相对理解的英国罗马公路网来探索由社交网络分析,空间网络分析和基于空间插值的分布分析相结合提供的分析可能性。英国道路网络已使用已发布的数据进行了重建,还使用了LCR的一种变体,其中成本面是从大规模文化清单中获得的文化数据得出的。罗马时期引进的食用植物的分布是研究沿线贸易及其历史后果的绝佳代表。这个多时期的考古植物数据集相对于其他类型的材料遗迹具有明显的优势:考古植物遗迹不被重复使用,例如,作为安瓿,因此,它们反映了基于消费或商业的分配模式。其中一些是进口的(因为它们不能在当地生产),因此,将通过使用主要路线进行分配。

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