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This chapter examines every muster roll from the Thirty Years War in the Saxon State Archives in Dresden to determine the demographics of the entire Saxon army during the entire war. In contrast to enduring stereotypes of early seventeenth-century soldiers as rootless social outcasts, these soldiers were recruited and often served near their homes. Both infantry and cavalry were far more urban than the average central European population. Soldiers called themselves righteous guys and lived within a dense thicket of social networks that included friendship, similar religion, and place of origin.
Suicide is a major concern among active-duty military personnel. Aggression represents a salient risk factor for suicide among civilians, yet is relatively understudied among military populations. Although several theories posit a relation between aggression and suicide with putative underlying mechanisms of social isolation, access to firearms, and alcohol use, researchers have yet to test these potential mediators. This study uses rich, longitudinal data from the Army Study to Assess Risk and Resilience (STARRS) Pre/Post Deployment Study (PPDS) to examine whether aggression longitudinally predicts suicide attempts and to identify mediators of this association.
Methods
Army soldiers (N = 8483) completed assessments 1 month prior to deployment and 1, 2–3, and 9–12 months post-deployment. Participants reported on their physical and verbal aggression, suicide attempts, social network size, firearm ownership, and frequency of alcohol use.
Results
As expected, pre-deployment aggression was significantly associated with suicide attempts at 12-months post-deployment even after controlling for lifetime suicide attempts. Social network size and alcohol use frequency mediated this association, but firearm ownership did not.
Conclusions
Findings further implicate aggression as an important suicide risk factor among military personnel and suggest that social isolation and alcohol use may partially account for this association.
Take a broad look at American family and friendhip ntworks, examining marriage, child-rearing, and other family and personal relations among the consuls and members of the American community in the Mediterranean.
Behavioral Network Science explains how and why structure matters in the behavioral sciences. Exploring open questions in language evolution, child language learning, memory search, age-related cognitive decline, creativity, group problem solving, opinion dynamics, conspiracies, and conflict, readers will learn essential behavioral science theory alongside novel network science applications. This book also contains an introductory guide to network science, demonstrating how to turn data into networks, quantify network structure across scales, and hone one's intuition for how structure arises and evolves. Online R code allows readers to explore the data and reproduce all the visualizations and simulations for themselves, empowering them to make contributions of their own. For data scientists interested in gaining a professional understanding of how the behavioral sciences inform network science, or behavioral scientists interested in learning how to apply network science from the ground up, this book is an essential guide.
A user-friendly introductory guide to the empirical study of social networks. Jennifer M. Larson presents the fundamentals of social networks in an intuition-forward way which guides theory-driven research design. Substantial attention is devoted to a framework for developing a network theory that will steer data collection to be maximally informative and minimally frustrating. Other features include: Coverage of a range of practical topics including selecting operationalizations, cutting survey costs, and cleaning data; A tutorial for getting started in analyzing networks in R; Technical sections full of examples, points to hone intuition, and practice problems with solutions. Designing Empirical Social Networks Research will be a valuable tool for advanced undergraduates, Ph.D. students in the social sciences, especially political science, and researchers across the social sciences who are new to the study of networks.
The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches. We conducted a narrative review of 66 frameworks. Among frameworks that explicitly addressed networks – that is, elaborated on network characteristics, structure, and/or activities – we extracted and synthesized network concepts using descriptive statistics and narrative summaries. A total of 24 (36%) frameworks explicitly addressed networks. Commonly included actors were implementers, adopters/decision-makers, innovation developers, implementation support professionals, and innovation recipients. Network activities included the exchange of resources, knowledge, trust, and norms. Most network-explicit frameworks characterized ties within and across organizations and considered element(s) of network structure – for example, size, centrality, and density. The most common network change strategy was identifying individuals to champion D&I efforts. We discuss opportunities to expand network inquiry in D&I science, including understanding networks as implementation determinants, leveraging network change approaches as implementation strategies, and exploring network change as an implementation outcome.
Cooperative behavior constitutes a key aspect of human society and non-human animal systems, but explaining how cooperation evolves represents a major scientific challenge. It is now well established that social network structure plays a central role for the viability of cooperation. However, not much is known about the importance of the positions of cooperators in the networks for the evolution of cooperation. Here, we investigate how the spread of cooperation is affected by correlations between cooperativeness and individual social connectedness (such that cooperators occupy well-connected network positions). Using simulation models, we find that these correlations enhance cooperation in standard scale-free networks but not in standard Poisson networks. In contrast, when degree assortativity is increased such that individuals cluster with others of similar social connectedness, we find that Poisson networks can maintain high levels of cooperation, which can even exceed those of scale-free networks. We show that this is due to dynamics where bridge areas between social clusters act as barriers to the spread of defection. We also find that this positive effect on cooperation is sensitive to the presence of Trojan horses (defectors placed within cooperator clusters), which allow defection to invade. The results provide new knowledge about the conditions under which cooperation may evolve, and are also relevant to consider in regard to the design of cooperation studies.
Much of the power of networks lies in their flexibility. Networks can successfully describe many different kinds of complex systems. These descriptions are useful in part because they allow us to organize data associated with the system in meaningful ways. These associated attributes and their connections to the network are often the key drivers behind new insights. For example, in a social network, these may be demographic features, such as the ages and occupations of members of a firm. In a protein interaction network, gene ontology terms may be gathered by biologists studying the human genome. We can gain insight by collecting data on those features and associating them with the network nodes or links. In this chapter, we study ways to associate data with the network elements, the nodes and links. We describe ways to gather and store these attributes, what analysis we can do using them, and the most crucial questions to ask about these attributes and their interplay with our networks.
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.
Debate regarding the continuity of Cypriot political forms from the Late Bronze Age to the Cypro-Archaic is persistent, resulting in a scholarly divide with few signs of resolution. This article reviews the historiography of political forms proposed for Cyprus as the essential context for this debate. It considers several major themes that emerge from the debate: the use of anthropological models for state formation, regionalism, social networks, and the nature of spatial power. The author views the debate as centred on two equally valid motivations: using related social science theory to enhance archaeological explanation and emphasizing Cypriot autonomy. These motivations need not be set in opposition but, together, illustrate the island's unique history and provide the basis for vibrant scholarship.
The moderation of user-generated content on online platforms remains a key solution to protecting people online, but also remains a perpetual challenge as the appropriateness of content moderation guidelines depends on the online community that they aim to govern. This challenge affects marginalized groups in particular, as they more frequently experience online abuse but also end up falsely being the target of content-moderation guidelines. While there have been calls for democratic, community-moderation, there has so far been little research into how to implement such approaches. Here, we present the co-creation of content moderation strategies with the users of an online platform to address some of these challenges. Within the context of AutSPACEs—an online citizen science platform that aims to allow autistic people to share their own sensory processing experiences publicly—we used a community-based and participatory approach to co-design a content moderation solution that would fit the preferences, priorities, and needs of its autistic user community. We outline how this approach helped us discover context-specific moderation dilemmas around participant safety and well-being and how we addressed those. These trade-offs have resulted in a moderation design that differs from more general social networks in aspects such as how to contribute, when to moderate, and what to moderate. While these dilemmas, processes, and solutions are specific to the context of AutSPACEs, we highlight how the co-design approach itself could be applied and useful for other communities to uncover challenges and help other online spaces to embed safety and empowerment.
Comprehensive studies examining longitudinal predictors of dietary change during the coronavirus disease 2019 pandemic are lacking. Based on an ecological framework, this study used longitudinal data to test if individual, social and environmental factors predicted change in dietary intake during the peak of the coronavirus 2019 pandemic in Los Angeles County and examined interactions among the multilevel predictors.
Design:
We analysed two survey waves (e.g. baseline and follow-up) of the Understanding America Study, administered online to the same participants 3 months apart. The surveys assessed dietary intake and individual, social, and neighbourhood factors potentially associated with diet. Lagged multilevel regression models were used to predict change from baseline to follow-up in daily servings of fruits, vegetables and sugar-sweetened beverages.
Setting:
Data were collected in October 2020 and January 2021, during the peak of the coronavirus disease 2019 pandemic in Los Angeles County.
Participants:
903 adults representative of Los Angeles County households.
Results:
Individuals who had depression and less education or who identified as non-Hispanic Black or Hispanic reported unhealthy dietary changes over the study period. Individuals with smaller social networks, especially low-income individuals with smaller networks, also reported unhealthy dietary changes. After accounting for individual and social factors, neighbourhood factors were generally not associated with dietary change.
Conclusions:
Given poor diets are a leading cause of death in the USA, addressing ecological risk factors that put some segments of the community at risk for unhealthy dietary changes during a crisis should be a priority for health interventions and policy.
This article focuses on the involvement of Viennese elites in wide-reaching political conflicts around 1400. Central European princes often held positions as city lords, which resulted in ambivalent relations between them and urban elites, as well as with their kin residing in the countryside. Setting aside grand categories of institutional history in favor of the interactions and relations of concrete actors, their social networks, and their involvement in shaping politics, the article follows six urban actors through a major conflict that involved the city lords, urban authorities, and individual actors and eventually resulted in the beheading of three of them. The article adopts a prosopographical approach to find out more about patterns of social costs and benefits in these conflicts. It argues that considering polyvalent and relational dimensions of belonging can help us better understand constellations of conflict and alliance and the modes and mechanisms of late medieval politics. It eventually establishes the boundaries of social network approaches when it comes to assessing individual motives and their alleged resonance in contemporary narratives of community.
The nine articles in this collection are the product of two workshops hosted at the University of Chicago in 2022 and 2023 in affiliation with the University of Vienna. They build on recent work that has called attention to the extraordinary political and religious diversity in the fifteenth-century Holy Roman Empire, and Central Europe more broadly. Pushing back against older historiography, in which this period was frequently overlooked or framed by uncritical use of such broad categories as the “state,” the “territory,” the “estates,” and the “feud,” this collection recognizes the polycentric nature of the fifteenth century's structures and institutions. Specifically, these articles return to the sources, especially documents of practice rather than normative texts, to open the door to a new understanding of conflicts and negotiations. They illuminate the patterns of conflict and negotiation evident in specific historical contexts by examining actors, networks, and practices of community building—as well as the processes through which conflicts emerged, evolved, and were negotiated and settled. Rather than relying on time-honored categories and meta-narratives, the contributors embrace the messiness of social and political relations and of the extant source material to shine new light on key themes in the fifteenth century's history.
Group-living creates stresses that, all else equal, naturally lead to group fragmentation, and hence loss of the benefits that group-living provides. How species that live in large stable groups counteract these forces is not well understood. I use comparative data on grooming networks and cognitive abilities in primates to show that living in large, stable groups has involved a series of structural solutions designed to create chains of ‘friendship’ (friends-of-friends effects), increased investment in bonding behaviours (made possible by dietary adjustments) to ensure that coalitions work effectively, and neuronally expensive cognitive skills of the kind known to underpin social relationships in humans. The first ensures that individuals synchronise their activity cycles; the second allows the stresses created by group-living to be defused; and the third allows a large number of weak ties to be managed. Between them, these create a form of multilevel sociality based on strong versus weak ties similar to that found in human social networks. In primates, these strategies appear successively at quite specific group sizes, suggesting that they are solutions to ‘glass ceilings’ that would otherwise limit the range of group sizes that animals can live in (and hence the habitats they can occupy). This sequence maps closely onto the grades now known to underpin the Social Brain Hypothesis and the fractal pattern that is known to optimise information flow round networks.
A vast and growing quantitative literature considers how social networks shape political mobilization but the degree to which turnout decisions are strategic remains ambiguous. Unlike previous studies, we establish personal links between voters and candidates and exploit discontinuous incentives to mobilize across district boundaries to estimate causal effects. Considering three types of networks – families, co-workers, and immigrant communities – we show that a group member's candidacy acts as a mobilizational impulse propagating through the group's network. In family networks, some of this impulse is non-strategic, surviving past district boundaries. However, the bulk of family mobilization is bound by the candidate's district boundary, as is the entirety of the mobilizational effects in the other networks.
One of the most counterintuitive examples involving randomness is the birthday problem. From 23 persons onwards, the probability of finding at least two people in a group with the same birthday is above 50%. Leonhard Euler’s solution of the Koenigsberg bridge problem heralded the start of the fascinating field of graphs and networks with applications to numerous applied problems across many disciplines. In 1929 the Hungarian writer Frigyes Karinthy highlighted the world’s smallness through his wonderful story “Chains” where he introduced the by now well-known “separation by six” idiom. Starting from these examples, we discuss some risks due to network effects present on the World Wide Web and social media. We present the reader with a glimpse of the fascinating world of coincidences. For instance, the law of truly large numbers states that, with a large enough sample, any outrageous thing is likely to happen. Real-life examples highlight the meaning of this law.
The number of studies examining gender differences in the social relationship rewards associated with costly religious practice has been surprisingly low. Here, we use data from 289 residents of an agricultural Tibetan village to assess whether individuals are more inclined to establish supportive relationships with religious individuals in general and to investigate the gender disparities in the relationship between religiosity and personal network characteristics. Our results reveal that participation in religious rituals contributes to the overall development of social support networks. The benefits to personal networks, however, seem to be contingent upon gender. For resource-intensive, infrequent religious rituals such as distant pilgrimages, males seem to benefit slightly more in terms of elevated in-degree values in their personal networks, despite similar levels of investment as females. In contrast, for daily, low-cost religious practices requiring ongoing participation, both genders obtain similar increases in in-degree values through regular engagement. It becomes more challenging for women to increase their status in communities when the effort invested in religious rituals yields smaller rewards compared with the same effort by men, contributing to ongoing gender inequality. These findings highlight the importance of examining the particular characteristics of religious rituals and the gender disparities in the associated rewards.
Why did the United States establish an early American Empire in the Pacific (1856-1898)? This chapter summarizes the argument of this book, explaining why patterns of imperialism demonstrate the influence of commodity prices and entrepreneurs for distinctive patterns of American imperialism. It then addresses 1898. Scholars often suggest that 1898 was the moment when the United States became an empire. This chapter argues that this view is misplaced. Instead, 1898 marks a shift in the US approach to empire, when the US Navy replaced the small entrepreneur as the key figure in US expansion. It then addresses the lessons learned from this book, with an emphasis on the politics of race in the contemporary Pacific and struggles for recognition in the region.
This article studies the association between the characteristics of individuals’ social networks and expectations of career advancement, including pay raises and job promotions. The literature has extensively documented the role of social capital as a determinant of labour market outcomes. However, the formation of expectations constitutes another critical path by which social ties may affect work through their influence on individual motivation and behaviour. This study attempts to explain the relationship between social capital and career-related expectations and empirically assesses these associations by employing data from a survey administered to a representative sample of the Spanish population. Our findings suggest that the ability to mobilise network resources is positively linked with both measures of career advancement. However, access to the upper class is only positively associated with expecting a pay rise. Additionally, for non-employed individuals, higher mobilisation is positively associated with the expectation of an increase in income.