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In this chapter, a central tenet of Construction Grammar is explored: the idea that linguistic knowledge on all levels (e.g., lexicon, morphosyntax, pragmatics) is related in a network fashion, with the building blocks of language (i.e., constructions) forming different types of connections (i.e., links). In general, we discuss the ingredients of constructional networks with our main focus on construction-external links (vertical and horizontal). Another aim of the chapter is to embed constructional networks into a larger domain-general theory of networks but also to demarcate constructional modeling from other network models in linguistics, like Connectionism or models of sociolinguistic propagation. We also glance at how diachronic network change is currently being conceptualized and end by a discussion of open issues.
Over the past decades, archaeological exploration of southern China has shattered the image of primitive indigenous people and their pristine environments. It is known, for example, that East Asia's largest settlements and hydraulic infrastructures in the third millennium BCE were located in the Yangzi valley, as were some of the most sophisticated metallurgical centers of the following millennium. If southern East Asia was not a backward periphery of the Central Plains, then what created the power asymmetry that made possible 'China's march toward the Tropics'? What did becoming 'Chinese' practically mean for the local populations south of the Yangzi? Why did some of them decide to do so, and what were the alternatives? This Element focuses on the specific ways people in southern East Asia mastered their environment through two forms of cooperation: centralized and intensive, ultimately represented by the states, and decentralized and extensive, exemplified by interaction networks.
The delivery of paediatric cardiac care across the world occurs in settings with significant variability in available resources. Irrespective of the resources locally available, we must always strive to improve the quality of care we provide to our patients and simultaneously deliver such care in the most efficient and cost-effective manner. The development of cardiac networks is used widely to achieve these aims.
Methods:
This paper reports three talks presented during the 56th meeting of the Association for European Paediatric and Congenital Cardiology held in Dublin in April 2023.
Results:
The three talks describe how centres of congenital cardiac excellence can be developed in low-income countries, middle-income countries, and well-resourced environments, and also reports how centres across different countries can come together to collaborate and deliver high-quality care. It is a fact that barriers to creating effective networks may arise from competition that may exist among programmes in unregulated and especially privatised health care environments. Nevertheless, reflecting on the creation of networks has important implications because collaboration between different centres can facilitate the maintenance of sustainable programmes of paediatric and congenital cardiac care.
Conclusion:
This article examines the delivery of paediatric and congenital cardiac care in resource limited environments, well-resourced environments, and within collaborative networks, with the hope that the lessons learned from these examples can be helpful to other institutions across the world. It is important to emphasise that irrespective of the differences in resources across different continents, the critical principles underlying provision of excellent care in different environments remain the same.
In the late twelfth century, four Chinese stonemasons migrated to Japan from the Chinese coastal city of Ningbo. They participated in the most important contemporary building project in Japan—the reconstruction of the prestigious Tōdaiji monastery in Nara following the Genpei War. Drawing on Chinese and Japanese textual records, archaeological evidence from the quarry sites, and the existing stone works, this study investigates the network that facilitated the movement of the artisans and their materials between China and Japan and sheds light on the relationship between artisans and religious monuments from a transnational perspective. This study explores how the migrant artisans’ expertise and connections enabled them to establish roots in a new society. Additionally, it examines the timing of the artisans’ migration within the broader context of Japan’s societal transformations, aiming to highlight the connectivity fostered by maritime networks in premodern East Asia.
Stochastic actor-oriented models (SAOMs) can be used to analyse dynamic network data, collected by observing a network and a behaviour in a panel design. The parameters of SAOMs are usually estimated by the method of moments (MoM) implemented by a stochastic approximation algorithm, where statistics defining the moment conditions correspond in a natural way to the parameters. Here, we propose to apply the generalized method of moments (GMoM), using more statistics than parameters. We concentrate on statistics depending jointly on the network and the behaviour, because of the importance of their interdependence, and propose to add contemporaneous statistics to the usual cross-lagged statistics. We describe the stochastic algorithm developed to approximate the GMoM solution. A small simulation study supports the greater statistical efficiency of the GMoM estimator compared to the MoM.
Research questions in the human sciences often seek to answer if and when a process changes across time. In functional MRI studies, for instance, researchers may seek to assess the onset of a shift in brain state. For daily diary studies, the researcher may seek to identify when a person’s psychological process shifts following treatment. The timing and presence of such a change may be meaningful in terms of understanding state changes. Currently, dynamic processes are typically quantified as static networks where edges indicate temporal relations among nodes, which may be variables reflecting emotions, behaviors, or brain activity. Here we describe three methods for detecting changes in such correlation networks from a data-driven perspective. Networks here are quantified using the lag-0 pair-wise correlation (or covariance) estimates as the representation of the dynamic relations among variables. We present three methods for change point detection: dynamic connectivity regression, max-type method, and a PCA-based method. The change point detection methods each include different ways to test if two given correlation network patterns from different segments in time are significantly different. These tests can also be used outside of the change point detection approaches to test any two given blocks of data. We compare the three methods for change point detection as well as the complementary significance testing approaches on simulated and empirical functional connectivity fMRI data examples.
Data in the form of zero-one matrices where conditioning on the marginals is relevant arise in diverse fields such as social networks and ecology; directed graphs constitute an important special case. An algorithm is given for the complete enumeration of the family of all zero-one matrices with given marginals and with a prespecified set of cells with structural zero entries. Complete enumeration is computationally feasible only for relatively small matrices. Therefore, a more useable Monte Carlo simulation method for the uniform distribution over this family is given, based on unequal probability sampling and ratio estimation. This method is applied to testing reciprocity of choices in social networks.
A simple property of networks is used as the basis for a scaling algorithm that represents nonsymmetric proximities as network distances. The algorithm determines which vertices are directly connected by an arc and estimates the length of each arc. Network distance, defined as the minimum pathlength between vertices, is assumed to be a generalized power function of the data. The derived network structure, however, is invariant across monotonic transformations of the data. A Monte Carlo simulation and applications to eight sets of proximity data support the practical utility of the algorithm.
There is increasing use of functional imaging data to understand the macro-connectome of the human brain. Of particular interest is the structure and function of intrinsic networks (regions exhibiting temporally coherent activity both at rest and while a task is being performed), which account for a significant portion of the variance in functional MRI data. While networks are typically estimated based on the temporal similarity between regions (based on temporal correlation, clustering methods, or independent component analysis [ICA]), some recent work has suggested that these intrinsic networks can be extracted from the inter-subject covariation among highly distilled features, such as amplitude maps reflecting regions modulated by a task or even coordinates extracted from large meta analytic studies. In this paper our goal was to explicitly compare the networks obtained from a first-level ICA (ICA on the spatio-temporal functional magnetic resonance imaging (fMRI) data) to those from a second-level ICA (i.e., ICA on computed features rather than on the first-level fMRI data). Convergent results from simulations, task-fMRI data, and rest-fMRI data show that the second-level analysis is slightly noisier than the first-level analysis but yields strikingly similar patterns of intrinsic networks (spatial correlations as high as 0.85 for task data and 0.65 for rest data, well above the empirical null) and also preserves the relationship of these networks with other variables such as age (for example, default mode network regions tended to show decreased low frequency power for first-level analyses and decreased loading parameters for second-level analyses). In addition, the best-estimated second-level results are those which are the most strongly reflected in the input feature. In summary, the use of feature-based ICA appears to be a valid tool for extracting intrinsic networks. We believe it will become a useful and important approach in the study of the macro-connectome, particularly in the context of data fusion.
Northern Europe was the site of another great medieval experiment in statecraft, the Hanseatic League of cities that monopolized trade in the Baltic and North Seas. In a time and place of weak central authority, German-speaking cities in the northern tier of the Holy Roman Empire were the most powerful force in Northern Europe. They waged war against territorial states, winning steep concessions from the Danish Empire in 1370 that marked the league’s zenith. What was the source of Hanse power? Lübeck in northern Germany was the de facto capital. This city was the product of German migratory conquests in a vast Christianization effort. Soon it was an alpha city in a far-flung network that controlled trade from England to Russia and points between. The league led by Lübeck was locked in a zealous, centuries-long struggle to gain and protect trading privileges in the burgeoning financial centers of a new urban age. The Hanse cities formed a network within a network, establishing strongholds in the globally significant nodes of Bergen, Bruges, London, and Novgorod.
Chapter 5 deals with electrical issues and is broadly divided in two. The first half explains the operating principles of the several different types of generator found on wind turbines, and their influence on dynamics and electrical power quality. Generator types are illustrated schematically and their characteristics explained using simple physical principles. Geared and gearless (direct drive) generators are discussed and there is a brief historical review of generator developments. The second half of the chapter deals with electrical networks and further examines the issue of power quality. The importance of reactive power is explained and how modern generators can manipulate it to aid voltage stability; the role of external devices such as Statcoms, SVCs, and pre-insertion resistors is also discussed in this context. Measurements from a MW-scale wind turbine illustrate voltage control via reactive power management over a period of several days. The challenge of low grid strength is illustrated with a practical example of a small wind farm development on a rural network with low fault level. The chapter concludes with a brief discussion of wind turbine lightning protection.
This chapter examines the phenomenon that has become known as samizdat: the self-publishing of secular literature as a reaction to state censorship in the second half of the twentieth century. Samizdat is conceptualised as a means by which Soviet citizens procured what the centrally organised cultural sphere would not provide: interesting or informative texts that people wanted to read. The chapter provides detail on famous texts that were first circulated in samizdat, on different genres of samizdat such as literary journals, and on the manufacturing and distribution of samizdat materials, including ‘tamizdat’ or the smuggling into the USSR of books printed abroad. Ultimately, samizdat emerges not merely as a way of distributing texts, but also as a network of grassroots networks – a way for people to organise outside official channels in the context of a system which suppressed private and civic initiative.
This chapter analyzes the regional and sectoral differences in how cities and municipalities engage in climate change networks. Over the past 20 years, an increasing number of cities, regions, companies, investors, and other non-state and subnational actors have voluntarily committed to reducing their GHG emissions. Such actions could help reduce the implementation gap. Along with the increase in commitments and the growing number of venues through which non-state actors can cooperate in order to govern climate change, it is necessary to track and evaluate such efforts. This chapter assesses the voluntary commitments made by Swedish municipalities, regions and multistakeholder partnerships to decarbonize by reducing GHG emissions. It finds large differences in which cities and municipalities that engage in networks. Large and urban municipalities in the south and along the eastern coast are well represented, whereas more rural municipalities along the Norwegian border are less represented in the data. The findings are discussed in terms of climate justice, highlighting the importance of having everyone onboard to create acceptance and reduce inequality in the transformation toward decarbonization.
This Element works as non-technical overview of Agent-Based Modelling (ABM), a methodology which can be applied to economics, as well as fields of natural and social sciences. This Element presents the introductory notions and historical background of ABM, as well as a general overview of the tools and characteristics of this kind of models, with particular focus on more advanced topics like validation and sensitivity analysis. Agent-based simulations are an increasingly popular methodology which fits well with the purpose of studying problems of computational complexity in systems populated by heterogeneous interacting agents.
Why and how we age are deep and enduring questions. The quest for a theoretical framework explaining the evolutionary origins and proximate mechanisms of ageing has led to the elaboration of hundreds of theories of very diverse kinds. The aim of this chapter is twofold. First, it will provide an historical perspective of the numerous theories of ageing. Second, it will emphasize the need for a unified framework merging both evolutionary and mechanistic theories by demonstrating that such theoretical frameworks are required to promote innovative research projects involving the joint effort of multiple research disciplines.
The freedman Gregorio Cosme Osorio’s extant letters from Madrid in 1795 are the focus of Chapter 6. They provide a direct perspective of a cobrero leader’s legal culture, his views on the case, and his activities as liaison between Madrid and El Cobre (including an alleged meeting with the king). Cosme’s missives from the royal court, which high colonial officials considered subversive, critiqued politics of the law in the colony and kept the cobreros abreast of the imperial edicts issued in Madrid in their favor which colonial authorities ignored. His liaison role during fifteen years was crucial to keep the case alive in the royal court.
In the economy as in ecosystems, one tipping point can lead on to another. Creating cascades of change throughout the global economy is perhaps the only imaginable way we could make the transition to zero emissions at the pace required. This should be the focus of climate change diplomacy throughout this decade. If enough of the world joins in, we might just have a chance.
The Literary Club, often simply known as ‘The Club’, was founded by Samuel Johnson and Joshua Reynolds in 1764. The Club has been understood as the epitome of a strain of Enlightenment clubbability, modelled on earlier eighteenth-century ideals of conversation and channelling them into a new form of argument-as-sport. However, Goldsmith’s experiences of being often ridiculed at meetings can help counterbalance heroic accounts of the club by foregrounding a tendency to cruelty in this celebrated institution. This chapter provides a more balanced account of the Club than we are used to, one that insists on Goldsmith’s centrality to its activities, not only as a founding member and successful product of its cultural networking, but also as a figure who exposes the dual nature of the Club.
This paper examines the population of corporate directors of Britain at the turn of the twentieth century. Over the period 1881-1911 the corporate form became the most common mode of business organisation for large businesses. As their number increased, the population of directors expanded and reflected an increasingly diversified corporate landscape. Based on a large-scale dataset, this paper analyses the characteristics and networks of this wider population of directors. The study goes beyond previous work, which has mainly focused on elite directors or prominent companies, and shows three key findings. First, the population of directors was very connected into a large network, complete isolation from this network was rare. Second, over 1881-1911 director interlocks with banks became less important for most sectors, while interlocks with other financial institutions such as trusts became increasingly important. Insurance companies stood out as the most connected sector spanning smaller local companies and larger international ones. Third, during the period studied there was a shift from director clusters that were mainly based on proximity, to those that were connected through industries.
This chapter approaches the history of electric guitar music in sub-Saharan Africa through the perspective of the “new organology,” considering the unique imbrication of materiality and sociality within the cultural work of music. Multiple local and transnational networks impact the work of guitarists, including the movement of musicians, economic systems that circulate instruments, and the circulation of musical knowledge, genre, and instrumental technique. Networks are both embedded in the landscape—such as electrical infrastructure—and lay atop the physical, such as mobile data and social media applications. The author draws upon ethnographic interviews with guitarists from Ghana and Congo to show how these networks of circulation and the materiality of instruments can provide new ways of thinking about guitar music in Africa and the African diaspora.