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This chapter explores how emporia could have operated within the political and legal institutions of early medieval Northern Europe. I examine documents and narratives to suggest how prevailing models have misconstrued the norms and institutions of power used to govern these places. The emporia, I argue, were essentially part of a social organization designed for dealing with strangers who came from outside regional social networks and cultural groups, and that existed within a society governed ultimately by common law and popular assemblies. In the absence of the chartered towns, guilds, or individually granted privileges that secured the rights of travellers in the High Middle Ages, emporia were attuned to a simpler framework, in which wider agreements had to be made at group-level and then ratified at legal assemblies. As such, they operated as havens for foreigners who formed a permanent diaspora away from their own country. They were entitled to comply with their own laws within a circumscribed space, and to answer collectively to regional authorities.
This chapter focuses on the entanglement between people within sites. Analysing evidence for specialized crafts in emporia, it asks why craftspeople went there, and how they contributed to make these places into hubs of particular social networks. It issues from the key observation that crafting activities in emporia were not only dependent on far-flung networks with other locations, but also on entangled webs of people and processes within the immediate community. The need for access to raw materials, opportunities for learning, markets and, perhaps more than anything, the need for collaboration between specialized artisans, was a decisive incentive for strangers to congregate at specific sites. Craft workers in emporia were dependent on these different elements to practise their trade. As a by-product, their work was able to bridge social relationships, which contributed to the social capital of an otherwise inconsistent community. Such interactions thus gave an unprecedented prominence to weak social ties in the intersections of roles and personhood in individuals, and, more broadly, at the level of the assemblage.
This chapter introduces the book as a textbook about the stochastic actor-oriented model. This is a statistical model for analyzing network dynamics for data given as two or more repeated measurements of networks, possibly together with other actor-level outcomes. After positioning this book in the literature, the chapter mentions “Ties have consequences” as a leading principle of this methodology and relates this to the concept of endogeneity: Some of the variables under consideration are, at the same time, both a dependent variable and also an explanatory variable for another dependent variable. At the end, a brief description is given of the kind of data required for this model.
This final chapter draws together the arguments established in the book and outlines further perspectives for our understanding of the role of weak ties and strangers in human societies in both the past and present. It explores the northern emporia in the context of a global, comparative frame to understand in what ways they compare and contrast to developments elsewhere in the Early Middle Ages, and to urban networks in other periods. I review how emporia compare with other trading institutions in a broader historical framework. To this end, I point to the central but widely misconstrued role of encounters with strangers as part of human sociality. The conclusion points to a reality that lies deep within the history of social networks, which have been widely disregarded in archaeological models and social theory, but which in fact make sense of historical trajectories and the path to the present world.
The chapter explores how engagements with strangers were established in the early medieval emporia in Northern Europe, and how trust was created from the ‘weak ties’ of social networks in these meeting places. It has its foundations in the archaeological record, which is contextualized in a broader geographical and temporal framework. Focusing on themes such as maritime mobility and interaction, scale and organization of transport, modes of trade and exchange, extraction and circulation of materials, crafts and specialized urban production, and the cultural interactions of urban communities, the chapter debates how the findings of Viking-Age archaeology may hold important implications more generally for those studying the development of urbanism and the history of human societies. It also considers how emporia operated as an aspect of social networks beyond regional groups and polities in the non-state societies of early medieval Northern Europe, and how aspects of social networks can account for the development of these centres.
Political consumerism is an important form of political participation in which citizens use market choices – boycotting and buycotting – to express political concerns and influence global economic and political institutions. Adopting a comparative perspective, the Element integrates evidence from a meta-analysis (109 studies and 1,300 tests), global survey data (66 countries and 97,000 respondents), and original cross-national research (5 countries and 7,500 respondents). Using each data source, the authors examine the roles of resources (education, income, and information/news), engagement (political interest, ideology, and environmental concern), and mobilization (online group ties and offline organization membership) in political consumerism and how these factors vary across countries in explaining political consumerism. The authors find that organizational membership, group ties on social media, political interest, and political ideology are consistent covariates of boycotting and buycotting, whereas education, information/news, and environmental concern depend on the country, political context, campaign, and activity (boycotting or buycotting).
To synthesise evidence on the relationship between food insecurity and social networks among older adults, focusing on conceptualisation and measurement, analytical positionality, directionality of associations and research gaps.
Design:
A scoping review.
Setting:
Global evidence.
Participants:
Adults aged 60 years and older.
Results:
Sixty articles met the inclusion criteria. Research activity increased markedly after 2014, with 45 % published between 2020 and 2025. The median interval between completion of data collection and publication was 4 years. Most were conducted in high-income countries and employed quantitative designs, with limited representation from low- and middle-income countries (LMIC) and few focusing exclusively on older adults. Food insecurity was assessed using diverse instruments, most commonly the Household Food Security Survey Module (HFSSM), the Household Food Insecurity Access Scale (HFIAS) and the Food Insecurity Experience Scale (FIES). Social networks were often proxied by marital status, living arrangements or perceived social support, with few studies employing validated instruments or theoretical frameworks. Most studies treated social networks as determinants of food insecurity, while reverse/bidirectional pathways, as well as more nuanced analytical positions such as networks as mediators/outcomes, were rarely explored.
Conclusions:
This review identifies critical gaps in the evidence, including limited research in LMIC, narrow methodological approaches and a lack of attention to bidirectional pathways, which could indicate strategic entry points for food- or network-based intervention. Addressing these gaps through more diverse, globally informed approaches is essential to deepening the epidemiological understanding of how food insecurity and social networks shape ageing.
Many social network datasets consist of ordinal ratings exchanged among the same set of individuals on multiple relational dimensions. Such data are common in educational and behavioral research but pose challenges due to ordinal measurement, asymmetric sender and receiver roles, and dependence within and across relations. We analyze classroom network data from Taiwanese senior high schools, in which students provided ratings of familiarity and liking, to examine relational dimensionality, reciprocity, cross-relational overlap, and individual characteristics. To this end, we develop and apply a latent-space rated-network model that accounts for ordinal rating scales, sender and receiver heterogeneity, and higher-order interaction structure. The model allows familiarity and liking to be treated either as a single relational dimension or as distinct but interdependent layers and decomposes within- and cross-layer dependence into interpretable, role-specific components linked to classical network summaries, such as reciprocity and multiplexity. In application, the model shows that high descriptive overlap between familiarity and liking does not imply a common generative process. Latent interaction patterns are shared across relations, but differences emerge in dispersion of latent positions, particularly by gender. Moreover, familiarity ratings are associated with both sender and receiver personality traits, whereas liking ratings are primarily associated with receiver traits.
Although there has been considerable scholarly discussion of the relationships between the infrastructure and social and economic conditions of settlements and their estimated populations, there has been virtually no investigation of the extent to which it is possible to detect similar relationships within settlements, aside from some very preliminary work on Pompeii. The aim of this article is therefore to build on earlier work and investigate whether this is indeed the case by focusing on three other sites: Delos, Herculaneum, and Ostia. The results show that there are almost identical relationships between the numbers of rooms and the total ground floor footprints of the residential units within these settlements, despite their different social and economic contexts. This demonstrates, for the first time, that these effects are not just confined to one site and that we may be dealing with a relatively widespread phenomenon.
Much survey-based research on social influence in politics has measured disagreement within a single social environment, most often individuals’ core networks of closest ties. Yet individuals are simultaneously embedded in multiple, overlapping social environments that may push them in the same or opposing political directions. We use original survey data measuring political disagreement across four distinct social environments—core networks (closest ties), periphery networks (weaker ties), affiliation networks (voluntary organizations), and social contexts (geographic community)—to ask a foundational but underexplored question. Should these environments be studied separately or in aggregate? We first describe the landscape of disagreement across environments, documenting meaningful variation in both levels and correlates of disagreement exposure. We then ask whether disagreement across environments reflects a common underlying dimension or operates through distinct mechanisms, finding that a single latent factor accounts for approximately 85% of joint variability, consistent with but not conclusive evidence for aggregation. We assess what is gained and what is lost under each approach. Disaggregated models reveal that environments differ in their associations with partisan and ideological strength, while an aggregated “global disagreement” measure reveals that relying solely on core networks underestimates the relationship between the broader social environment and political attitudes. Our findings indicate that both approaches capture substantively distinct patterns, and that the appropriate level of aggregation depends on the inferential goal.
Using social networks analysis and centrality measures, this study examines the funerary assemblage of El Ombligo (ca. AD 650/700–1370) in northwestern Mexico to evaluate how local communities navigated the Aztatlán tradition expansion. Results indicate the pre-Mesoamerican Huatabampo period (AD 650/700–1022) reflects a relatively integrated corporate social system characterized by broad ritual participation. With the arrival of the Aztatlán tradition, corresponding to the Guasave period (AD 1022–1370), society became more materially differentiated yet more standardized in nonmaterial ritual practices, reflecting the persistence of a Huatabampo ritual doxa and the continuous use of the funerary mound over seven centuries. The Guasave period results indicate dual processes of horizontal and vertical social differentiation, suggesting that emerging ontologies and an incipient political economy were reshaping society. These findings show that inequality in Guasave was externally influenced but locally negotiated within an enduring local identity.
Abstract: The chapter engages Horden and Purcell’s revision of Braudel’s Mediterranean model to seek a more dynamic account of Christ religion in its Mediterranean contexts. Critiquing earlier portrayals that examine Paul through a Mediterranean lens, it offers a more nuanced account through exploration of fictional social networks and geographical itineraries found in Acts, as well as in both the undisputed and disputed Pauline letters and apocryphal acts. The journeys described in Acts and implied by Paul’s letters offer a panoramic Mediterranean view, akin to ancient imperial maps, envisioning a world shaped by itineraria of early Christ travellers. Employing David Sacks’s insights, the essay examines Paul’s territorial concept of the Mediterranean, controlling people and regions through an imagined geography connected by messengers and audiences. Paul’s letters condense the Mediterranean by using vivid imperial imagery and language, revealing alignment and distinction from the Roman Empire. Integrating anthropological insights on gift-giving, Paul’s Mediterranean is seen as a shifting and dynamic phenomenon challenging patronage norms, fostering social cooperation, and economic solidarity.
This mixed-methods study validated an environmental character education model for upper-secondary students and examined short-term score change after a Telegram-based learning programme. The qualitative phase used thematic analysis of environmental education, character education, and environmental ethics texts, followed by three Delphi rounds with 20 experts. The resulting 11-component framework informed a 76-item questionnaire administered to 384 upper-secondary students in northwestern Iran selected through multistage cluster random sampling. Factor analyses supported the 11-component structure (Kaiser–Meyer–Olkin Measure of Sampling Adequacy (KMO) = 0.850; explained variance = 61.89%; root mean square error of approximation = 0.056), although patience and tolerance showed a weak higher-order loading. A one-month Telegram-based programme was then implemented using component-aligned persuasive statements, short stories, animations, films, music, and environmental prompts. Mean scores increased from pretest (M = 3.83, SD = 1.17) to posttest (M = 3.92, SD = 1.19), t (383) = 8.86, p < 0.001, dz = 0.45. The raw change was small and is interpreted cautiously as short-term score responsiveness rather than causal proof of character development.
Attitude change is not solely an individual process—it unfolds within social networks. While interventions to shift individuals’ political attitudes are widespread, from campaign persuasion to efforts reducing prejudice and partisan animosity, little is known about how such interventions depend on and interact with social structures. We report results from a field experiment in sixteen Ugandan villages that provides a rare, direct view of how attitude change occurs within social networks. We combine measures of village social networks with surveys of attitudes before and after a perspective-taking intervention seeking to warm attitudes toward nearby refugees. Targeted individuals did exhibit warmer attitudes toward refugees immediately after treatment on average. Two to three weeks later, however, substantial additional change had occurred throughout the villages—even among those never treated directly. We show evidence that these attitude shifts occurred within and because of social networks. Attitudes of network neighbors moved toward one another, even more than would be expected by common positive shifts. The new attitudes of targeted individuals spill over to influence the attitudes of network neighbors. Some people react to the intervention especially strongly right away; network distance to these people predicts longer-term attitude change, where attitudes of individuals closer to strong positive or negative reactors shift in the corresponding direction over time. These patterns do not predict immediate responses, only later ones after people have had time to interact with their network ties. Our findings demonstrate that political attitude change is ultimately shaped by real-world social networks.
Free banking systems, as archetypes of financial deregulation, are presumed unstable. Antioquia, Colombia, between the 1870s and 1880s challenges this. Despite weak regulation and political turmoil, the region sustained two decades of credit growth, circulating private banknotes, and no bank failures. To explain this resilience, we develop a property-network approach to estimating systemic risk—suited to historical settings where scarce data on credit and asset prices render conventional techniques inapplicable. Reconstructing banks’ ownership ties, we show that interlocking shareholders shaped each institution’s incentives and constraints, at once opening channels for contagion and buffering against collapse. A stress-test simulation indicates this cross-ownership was stabilizing: the system could absorb unusually large shocks before systemic failure, as elite investors’ overlapping stakes contained rather than amplified stress. The paper reframes Antioquia’s free banking episode as a case of endogenous stability and offers a portable tool for assessing systemic risk in other pre-modern settings.
Agent-based modelling (ABM) in social networks offers a powerful framework for simulating individual behaviours and emergent collective patterns within dynamic and interconnected populations. This chapter explores the conceptual foundations, methodological innovations and behavioural implications of ABM in the context of social networks, with a particular focus on the modelling of communication, influence, cooperation and contagion. Drawing from the fields of behavioural science, network theory and computational social science, the chapter presents ABM as a generative tool for understanding how micro-level decision-making rules produce macro-level phenomena. It also critically evaluates the increasing use of AI-driven agents – including large language model (LLM)-powered agents and synthetic personas – in simulating realistic and context-sensitive behaviours within artificial societies. The chapter engages with ethical and methodological challenges, including representation, explainability and the problem of behavioural validity. A worked example is included, illustrating how agent-based simulations can be applied to study misinformation diffusion and norm formation in online social networks. Ultimately, the chapter argues that agent-based modelling in social networks not only advances Behavioural Data Science methodologically, but also fosters new forms of interpretive insight into the dynamics of collective behaviour in an age of digital mediation.
The article aims to provide an analytical and empirical reassessment of the transformation of post-socialist political activism, with implications for the general analysis of civil society. Based on a distinction between two types of political activism—transactional and participatory—we seek to illustrate how these help us understand the development of the key aspects of post-socialist civil society. First, we conceptualize a general mode of activism with three dimensions: mobilization, transactional capacity, and strategic capacity. Using a unique protest event dataset (1989–2022), we empirically examine this activist mode in two thematic areas of activism—economic and environmental ones—over the course of three decades. We show, first, how each dimension of the activist model is linked to different contextual or intra-organizational factors, and second, that these two fields of activism, which were considered dramatically different, are slowly converging in all three dimensions.
Sancho’s Letters begins with an extensive list of “Subscribers Names,” crediting 1,181 individuals who financed the book as a source of funds for Sancho’s widow and children. This chapter examines that list and the process of publishing “by subscription,” highlighting Sancho’s differences from other 1782 subscription publications and the later Black British authors Olaudah Equiano and Ottobah Cugoano. In Sancho’s list, the variety of honorifics associated with each name reveal that the book’s supporters came from a broad spectrum of social ranks – and that a strikingly high percentage of them were women. Several specific individuals are discussed to illustrate the motives of Sancho’s subscribers: patronage and clout; friendship and philanthropy; and abolitionist politics. Despite the later embrace of Sancho’s book by abolitionists, this chapter contends that its subscriber list is more strongly shaped by a sentimental literary milieu and the social ties of the book’s editor.
from
Part III
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Additional Topics: Interlacing, Tensors, Nonbacktracking Laplacians, and Applications
Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig,Raffaella Mulas, Vrije Universiteit Amsterdam,Dong Zhang, Peking University
Laplace operators and their spectral properties are powerful tools for the analysis of networks in the social and the biological sciences and in other domains. In computer science, the theory of families of expander graphs is particularly important. Eigenvalues are also a key for quantifying synchronization and other features of nonlinear dynamics.
Chapter 14 examines how the rise of American philanthropic foundations – particularly the Carnegie Endowment for International Peace (CEIP) – shaped international law during the League of Nations era. Although the United States government remained formally outside most League institutions, American influence was felt as private organizations brought their considerable resources to bear on the development of the social sciences, including the discipline of international law. The chapter explores how the CEIP’s legal philanthropy sustained international law as a transnational professional practice linking League officials, judges, academics, and practitioners. Drawing on archival research from the League of Nations and the CEIP, as well as a dataset of roughly 25,000 individuals affiliated with League bodies and related NGOs, the chapter addresses several key questions: What strategy guided the Endowment’s funding decisions? How did this strategy interact with broader geopolitical dynamics, particularly the ambivalent US–League relationship? And how did recipients leverage foundation support to advance their own agendas? The chapter traces the CEIP’s project of replacing a militarized global regime with a rules-based international order administered by trained legal professionals but also offers insights into the structural impact of philanthropic funding on the sociological makeup of the legal profession in the League era.