This chapter looks at the distribution of epichoric alphabets across the whole Aegean Basin, to the different styles of letter shapes used for writing the Greek language according to city of origin. The whole distribution is considered, and in comparing this to models used in previous generations the case is made that the situation is so complex that it cannot so easily be sketched out on a simple map. In focusing on case studies from sanctuaries and harbours, the long-held view is confirmed that these were places of hyper-connectivity, with communities and individuals competing for status – but that network analysis marks these patterns even more acutely. A wider point about data modelling is also made in this chapter. Depending on how representative one considers the data to be, very different patterns can be drawn (and very different conclusions can be reached).

This chapter begins by synthesising the results of the previous modelling chapters, also considering how far one might go with conclusions in each case, given the limits and quality of the various datasets. Having synthesised these data, the models are tested against two ‘known’ networks, described in ancient literature: the Ionian League and the Kalaureian Amphiktyony. In highlighting the differences between the expected and the actual results, the case is made that literature and historical documents can project a greater degree of unity between communities than might have in reality been expressed or presented for reasons of their own political gain and unity.

This book closes by returning to the problem of the polis, and to considering the extent to which a fresh approach can contribute new thoughts to an old debate. In considering what exactly an ancient city was, its activities are emphasised: the fact that a city formed political and economic connection with its neighbours helped to define it. The potentials and pitfalls of modelling for historical enquiry are considered, and the case is made for a more data-driven and ‘scientific’ classical archaeology of the next generation.

This chapter considers the problem of ‘heavy freight’, a problem posited by Anthony Snodgrass in the 1980s concerning how Greeks might have moved heavy goods like marble around the Greek world. A dataset of freestanding marble statues is presented, where the size and the shape of these statues is used to consider how much marble might have been used in the Greek world during various economic production processes. After estimating the scale of the industry, this chapter uses spatial network modelling to consider some of the routes along which marble might have been transported on the sea, using a rules-based system that ships will always have gone the most direct route from-anchorage-to-anchorage. The shape of these networks is then discussed in light of their implications for our understanding of the whole of the Greek world.

This chapter builds on the discussion of product shipping from the previous chapter, but by introducing a different sort of product: commodity or semi-luxury goods (in the words of Lin Foxhall), things transported in ceramic amphoras that were also loaded onto ships. The distribution of pottery from across various sanctuaries and urban sites is considered to make the point that certain sites ‘specialised’ in various products, and that there might be evidence for Greeks selecting certain products for import or export. This element of choice is indicative of a wide amount of economic knowledge circulating in the Greek world that is not immediately materially visible. Spatial network modelling is conducted for this dataset too, revealing similar shapes to those from the previous chapter, and making the case for possible ‘piggy-backing’ of goods shipped from similar production sites to points of consumption.

The dataset discussed in this chapter is coinage, specifically the first coinage minted in the Aegean Basin. The start of this chapter considers to what extent coinage was first used as either an economic or a political tool, and, therefore, whether any patterns in the dataset will reveal more about political or economic networks. In presenting continuities of the dataset using a network analytical model, this chapter illustrates how the spread of coinage across the Aegean from Ionian innovators is indicative of a pattern in the spread of technology. This pattern is juxtaposed with the distribution of amphoras pattern, indicating that there is a qualitatively similar economic pattern, albeit separated with a large time-lag. This pattern is a useful reminder that different types of economic network laid the foundations for one another, and that material evidence may not always be contemporary with the formation of networks.

This chapter begins by considering the pattern of archaeology in Greece form the past 100 years that has generated huge datasets – and that these datasets have been largely under deployed in making historical conclusions about Greece of the seventh and sixth centuries BC. After reviewing the history of scholarship on ‘Archaic Greece’ (and the relative quietness of scholarship on this topic in the most recent decades) this chapter considers ways in which the huge amount of data from Archaic Greece could be organised and analysed. Various methods from the Digital Humanities are considered, with discussion focusing also on data cleaning and organisation, before proposing that network analysis will be a useful framework for this study in making clear the ways in which the first communities of Archaic Greece formed economic and political alliances – and rivalries – with one another.