Social Network Theory and Educational Change offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform. Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal and informal organizational structures, and exploring the mechanisms by which ideas, information, and influence flow from person to person and group to group. The case studies provided in the book reflect a rich variety of approaches and methodologies, showcasing the range and power of this dynamic new mode of analysis. An introductory chapter places social network theory in context and explains the basic tools and concepts, while a concluding chapter points toward new directions in the field. Taken together, they make a powerful statement: that the success or failure of education reform ultimately is not solely the result of technical plans and blueprints, but of the relational ties that support or constrain the pace, depth, and direction of change. This unique volume provides an invaluable introduction to an emerging and increasingly important field of education research.

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.

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.

"It is refreshing to see a volume dedicated first and foremost to understanding and building human relationships in schools. By developing strong networks, schools can foster open systems committed to distributive leadership and exemplary academic outcomes." —Sharon Conley, Professor University of California, Santa Barbara Discover how to navigate your school′s social networks to maximize communication and collaboration! Social networks reflect the usually invisible relationships that control the flow of information and power within a school. This compelling guide provides school leaders with an understanding of the real relationships within their schools and how to use their social savvy to promote school goals. This resource examines the types of social networks typically found in schools and provides samples of social network maps, steps for developing your own maps, and practical advice for managing social networks effectively. Learn how to leverage the power of: Task networks determined by work roles and organizational structure Friendship networks based on relationships between staff members Power networks that can influence opinions and resources Culture networks that can help unite staff By understanding the many relationships that contribute to a school′s culture, leaders can cultivate innovative ideas, enhance teacher capacity, manage conflict, and get things done.

While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

Actor-Network Theory (ANT) has enjoyed wide uptake in the social sciences in the past three decades, particularly in science and technology studies, and is increasingly attracting the attention of educational researchers. ANT studies bring to the fore the material – objects of all kinds – and de-centre the human and the social in educational issues. ANT sensibilities are interested in the ways human and non-human elements become interwoven. Since its first introduction, actor-network theory has undergone significant shifts and evolutions and as a result, it is not considered to be a single or coherent theoretical domain, but as developing diversely in response to various challenges. This book offers an introduction to Actor-Network Theory for educators to consider in three ways. One mode is the introduction of concepts, approaches and debates around Actor-Network Theory as a research approach in education. A second mode showcases educational studies that have employed ANT approaches in classrooms, workplaces and community settings, drawn from the UK, USA, Canada, Europe and Australia. These demonstrate how ANT can operate in highly diverse ways whether it focuses on policy critique, curriculum inquiry, engagements with digital media, change and innovation, issues of accountability, or exploring how knowledge unfolds and becomes materialized in various settings. A third mode looks at recent 'after-ANT' inquiries which open an array of important new approaches. Across these diverse environments and uptakes, the authors trace how learning and practice emerge, show what scales are at play, and demonstrate what this means for educational possibilities.

Social networking focuses on social relationships (eg: friendships) diagrammed as nodes (points) and links (ties or edges between points). Social network analysis (SNA) examines features of such relationships within a social networking system, including how such social interactions change over time. SNA can measure and map connectedness or flow (eg: information, resources, etc.) within and across individuals, groups, and organisations. SNA can examine these ties in virtual- or geo-temporal spaces -- yielding rich mixed methods possibilities and wide application to a host of scientific phenomena. The advent of social media established a cultural meme that carries social network concepts to broader public audiences, and that reinforces SNAs path to be a powerful interdisciplinary approach. Google Ngram viewer shows the use of social network analysis in the corpus of books burgeoned in the late 1960s, and has continued to grow exponentially since the 1990s. The conceptual and methodological reach now extends both widely -- across scientific disciplines -- and deeply -- as field advances arise with the rapid pace of new inquiries.Facing this tremendous promulgation and diversification of SNA, this book distills essential frontiers across fields. Introducing emerging issues in the application of social network theory and SNA, and how these can or will be addressed, each chapter illuminates new trends or applications of a social network approach that can have wide potential impact in other disciplines. Conceptual advances (eg: applying the concepts of social networks such as peer influence on disease management and treatment adherence), as well as novel analytic approaches for studying properties of social networks are highlighted.