This text is the first holistic research overview and practical methodological guide for social network analysis in second language acquisition, examining how to study learner social networks and how to use network data to predict language learner behavior and identity. Authors Kristen Kennedy Terry and Robert Bayley lay out the history of social network analysis in sociolinguistics, discuss the state of the art in empirical findings in applications to language acquisition, offer how-to guidance and best practices for planning, conducting, and understanding this research, and authoritatively set the agenda for future work. With a variety of helpful features like case studies, suggested research projects, discussion questions, and recommended further reading, this book will be an invaluable resource to students and researchers of second language acquisition, sociolinguistics, education, and beyond.

This volume presents an innovative approach to understanding the language socialization process of second language learners in study abroad programs, focusing on the case of study abroad programs in Japan. Study abroad experiences are so diverse that both macro and micro viewpoints are needed to capture such complexity. This book looks for a way forward by adopting a novel approach which integrates social network analysis and conversation nalysis and allows for a fuller, more nuanced understanding of varying experiences of study abroad participants. Chapters draw on data from a wide range of sources, including participant observation, semi-structured interviews, social network surveys, and audio and visual recordings, to demonstrate the ways in which broader social forces, environmental factors, and individuals' dispositions interact in myriad social contexts within the study abroad experience. Taken together, the volume offers readers a comprehensive portrait of social processes in study abroad programs and their implications for language development, making this key reading for students and scholars in second language acquisition, pragmatics, and applied linguistics.

Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines an approach to the study of socially structured positions. He also discusses the use of multidimensional methods for investigating social networks. Social Network Analysis is an invaluable resource for researchers across the social sciences and for students of social theory and research methods.

SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Sociocultural research has long recognized the necessity of sustained interpersonal interaction for language development. However, less is known about the underlying relationships that promote language acquisition and their relevance for language classrooms. Presenting cutting-edge research on social networks and their applications in language teaching, this book explores the relationships that mediate language learning in and out of classrooms. Highlighting the complexity of language in multilingual contexts, chapters engage social network analysis to understand the role of instructional practices, socialization, motivation, language status, online communications technology, and language policies in the development of social resources for language learning. Discussing popular language teaching frameworks such as translanguaging, Social Networks in Language Learning and Language Teaching provides a nuanced account of the influences of social context on language learning, exploring classroom applications and pointing the way to a robust research agenda.

A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.

This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.

This book unites a range of emerging topics in the burgeoning transdisciplinary fields of second language acquisition and interculturality in a study abroad context. It explores key issues, trends and approaches within each strand and how the strands relate to one another, painting a big picture of the diversity and complexity underpinning second language acquisition in a study abroad context. The chapters highlight themes such as social networks, input and interaction issues, learner identities and study abroad in lingua franca contexts, while also presenting other themes spanning the breadth of second language acquisition and interculturality research, such as individual differences and linguistic development. This comprehensive and cohesive volume showcases the latest innovative research using quantitative, qualitative and mixed method approaches across a range of source and target language learner cohorts, and highlights emerging themes and directions for future research.