Network research has recently been adopted as one of the tools of the trade in archaeology, used to study a wide range of topics: interactions between island communities, movements through urban spaces, visibility in past landscapes, material culture similarity, exchange, and much more. This Handbook is the first authoritative reference work for archaeological network research, featuring current topical trends and covering the archaeological application of network methods and theories. This is elaborately demonstrated through substantive topics and case studies drawn from a breadth of periods and cultures in world archaeology. It highlights and further develops the unique contributions made by archaeological research to network science, especially concerning the development of spatial and material culture network methods and approaches to studying long-term network change. This is the go-to resource for students and scholars wishing to explore how network science can be applied in archaeology through an up-to-date overview of the field.

The use of formal modelling and computational simulation in studies of the Roman economy has become more common over the last decade. But detailed critical evaluations of this innovative approach are still missing and much needed. What kinds of insights about the Roman economy can it lead to that could not have been obtained through more established approaches, and how do simulation methods constructively enhance research processes in Roman Studies? This edited volume addresses this need through critical discussion and convincing examples. It presents the Roman economy as a highly complex system, traditionally studied through critical examinations of material and textual sources, and understood through a wealth of diverging theories. A key contribution of simulation lies in its ability to formally represent diverse theories of Roman economic phenomena, and test them against empirical evidence. Critical simulation studies rely on collaboration across Roman data, theory, and method specialisms, and can constructively enhance multivocality of theoretical debates of the Roman economy. This potential is illustrated, avoiding computational and mathematical language, through simulation studies of a wealth of Roman economic phenomena: from maritime trade and terrestrial transport infrastructures, through the economic impacts of the Antonine Plague and demography, to local cult economies and grain trade. Through these examples and discussions, this volume aims to provide the common ground, guidance, and inspiration needed to make simulation methods part of the tools of the trade in Roman Studies, and to allow them to make constructive contributions to our understanding of the Roman economy.

One of the most exciting recent developments in archaeology and history has been the adoption of new perspectives which see human societies in the past-as in the present-as made up of networks of interlinked individuals. This view of people as always connected through physical and conceptual networks along which resources, information, and disease flow, requires archaeologists and historians to use new methods to understand how these networks form, function, and change over time. The Connected Past provides a constructive methodological and theoretical critique of the growth in research applying network perspectives in archaeology and history, and considers the unique challenges presented by datasets in these disciplines, including the fragmentary and material nature of such data and the functioning and change of social processes over long timespans. An international and multidisciplinary range of scholars debate both the rationale and practicalities of applying network methodologies, addressing the merits and drawbacks of specific techniques of analysis for a range of datasets and research questions, and demonstrating their approaches with concrete case studies and detailed illustrations. As well as revealing the valuable contributions archaeologists and historians can make to network science, the volume represents a crucial step towards the development of best practice in the field, especially in exploring the interactions between social and material elements of networks, and long-term network evolution.