Once the data are collected and cleaned, we can start to explore features of the network. Taking an initial look at descriptive network statistics is a good way to take an overview of the data and to spot red flags that signal a problem with the data entry or cleaning. The earlier these can be identified, the better. This chapter serves as a tutorial for using R to do so using the igraph package. It introduces the process of importing a data file into R and walks through the first things you might do with the data, including computing descriptive statistics of the structural features, integrating substantive features of nodes and links, and visualizing the network.

Realistic networks are rich in information. Often too rich for all that information to be easily conveyed. Summarizing the network then becomes useful, often necessary, for communication and understanding but, being wary, of course, that a summary necessarily loses information about the network. Further, networks often do not exist in isolation. Multiple networks may arise from a given dataset or multiple datasets may each give rise to different views of the same network. In such cases and more, researchers need tools and techniques to compare and contrast those networks. In this chapter, In this chapter, well show you how to summarize a network, using statistics, visualizations, and even other networks. From these summaries we then describe ways to compare networks, defining a distance between networks for example. Comparing multiple networks using the techniques we describe can help researchers choose the best data processing options and unearth intriguing similarities and differences between networks in diverse fields.

This chapter introduces data-driven research methods for theatre and performance. Drawing on two case studies, the chapter demonstrates how to define and identify data, how to collect and organize it, and how to analyse it through computational methods. Careful attention is paid to the tension between a rigorous data model and the uncertainty and ‘messiness’ present in data’s sources. The conclusion promotes data-driven thinking as a way to expand the context and scope of TaPS analyses and to encourage explicit reflection on the mental categories and models within which we understand performance.

In those moments, or seconds, or hours, when focus on our creative work overrides input from the outside world, we are in the altered state of a creative trance. Shaped by individual experiences, social circumstances, and cultural traditions, the creative trance is multifaceted and psychologically significant. Taking numerous forms throughout the sciences, arts, sports, and self-transformation, it can change the world. At age sixteen, Albert Einstein’s visualization of riding on a light beam became a basis for his theory of special relativity. It can also be the inner deliberations of both Mozart and Shostakovich, who composed finished music in their minds. Cross-culturally, meditation and sleep are central to a creative trance. The Native North American Chippewa weave dream images into their beadwork and banners. In addition to the trance of creation, there is an audience creative trance of reception that ranges from pleasant enjoyment to the overwhelming response of the Stendhal syndrome.

TBT-S helps parents and other Supports to be aware of unique YA developmental needs and conflicts to offer appropriate assistance toward AN recovery. An experiential activity on guided reflections can enhance empathy for YA development along with skill development and the Young Adult Behavioral Agreement.

Chapter 3 continues the focus on methodological concerns, outlining and demonstrating how typical acoustic analyses proceeds from fieldwork to acoustic measurements and data extraction to analysis.This treatment goes deeper into the nuts and bolts of "doing" sociophonetics, with more hand’s on procedures for the identification, processing and measurement of vowels and sibilantsThis chapter is intended to introduce readers to and provide the work flow for some basic analyses using common software.The survey of key methods and fundamental terms presented in this and the previous chapter provides a foundation for reading and understanding the approaches used in sociophonetic literature and in exploring the research presented in subsequent chapters.

This chapter highlights judicial file-work backstage. It is particularly interested in the socially distributed and materially mediated character of these practices, and zooms in on the techniques judges have developed to navigate case files accurately and efficiently. It also traces how these work practices were disrupted and rearticulation as a result of the digitization of legal case files. In so doing, this chapter shows how an emphasis on this non-human actor – the legal case file – can rearticulate understandings of judicial decision-making and rule-following that locate it in the “head of the judge”. Tracing how and where judges draw on the legal case file in their sense-making, this chapter instead treats both judicial thinking and seeing as empirically investigable phenomena, and suggests that our conceptions of legal practices can benefit from paying attention to the materiality of legal case files. In so doing, it treats case files not (only) as informational objects, but materially recalcitrant objects that shape and direct judicial attention in specific ways.

This chapter explores the scope of imagination in the classical tantric texts and brings its salient features to a global philosophical discourse. Tantric texts treat imagination as a faculty of the mind that can be cultivated to its fullest extent. In this paradigm, imagination is an inherent power of the self, and upon its proper channeling, it can be transformed into the faculty of creativity, an inherent property of the self that remains otherwise dormant. These texts prescribe meticulous visualization processes in order to explore the limits of imagination. Apparently, what these texts meant by imagination is distinct from daydreaming or pure fantasy, as there is an integration of memory and attention in the course of projecting the mind to some intended objects or events. The central argument of this chapter is that this treatment of imagination as a faculty and the application of visualization for enhancing the power of imagination has the potential to address some key aspects in the contemporary philosophical discourse on imagination. This understanding of imagination can also help us devise ways to transform a subject’s self-assessment in order to assist him or her in negotiating his or her role in the socially constructed reality.

Objective: Develop an awareness of the variety of both simple and more nuanced data visualization tactics and tools available. Appreciate how to develop visual renderings that best meet the needs of data examination and storytelling for the audience in question.

Objective: Appreciate the wide range of intentions, focal methods, and general characteristics of effective decision support tools.

Ecologic sustainability assessments are of increasing importance in understanding the physical resource metabolism of urban systems. In Stockholm, the so-called Hammarby Model visualised important synergies in waste and energy flows in the Hammarby Sjöstad urban district and supported improved metabolic thinking. Following the success of this approach, the Eco-Cycle Model 2.0 for the Royal Seaport was developed in cooperation between KTH University and the City of Stockholm. The Eco-Cycle Model 2.0 can take account of more dimensions than the Hammarby Model, including overall and detailed descriptions of resource flows in a lifecycle perspective. Important starting points for the model were (1) global and local challenges concerning the use of resources, with specific relevance for urban development, (2) available models which visualise functions, resource flows, and resource synergies and (3) approaches to material, energy, and water accounting. The primary objective of the model is to show important connections and synergies between resource flows in a modern urban area. Secondary objectives that can be fulfilled in the long term are: to be a tool for the monitoring and follow-up of environmental objectives, to serve as a dynamic tool for the analysis of resource flows, and to contribute to improved urban planning.