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.

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.

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.

Part of the What is..? series, this book is an introductory guide providing explanations of the nature of social network methods.

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.

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.