`The authors should be congratulated for not only offering an excellent tour de force of cutting-edge work in social network analysis, but also charting some new possible territories for future organizational research′ - Environment and Planning Social Networks and Organizations provides a compact introduction to major concepts in the area of organizational social networks. The book covers the rudiments of methods, explores major debates, and directs attention to theoretical directions, including a vigorous critique of some taken-for-granted assumptions. The book is aimed at all of those who seek a lucid and lively treatment of social network approaches to organizational research, with a particular emphasis on the neglected area of interpersonal networks in organizations. In this book, Martin Kilduff and Wenpin Tsai offer new insights to those already familiar with network analysis, and motivate those interested in pursuing network research to embark on journeys of discovery. `This book is extremely timely. It provides a wonderful synthesis of the recently burgeoning literature in the area of organizations and social networks. It should be relevant at once for both the experienced network scholar as well as those entering this growing area′ - Ranjay Gulati, Kellogg School of Management, Northwestern University `Martin Kilduff and Wenpin Tsai have done a marvellous job of not only reviewing and integrating the diverse streams of literatures on social networks, but also of showing the enormous potential of this research approach that still lies untapped. Overall, this book will prove to be an invaluable resource for interested graduate students as well as for established scholars in the field′ - Sumantra Ghoshal, Professor of Strategic and International Management, London Business School `Research on social networks is already one of the most vibrant areas of organizational inquiry. How can it possibly become any more so? This book by Kilduff and Tsai opens up many new avenues for network research and theory-building. Whether you′re newly-interested in social networks or a veteran of the topic, you will benefit from Kilduff and Tsai′s marvellous contribution′ - Donald C Hambrick, Smeal College of Business Administration, The Pennsylvania State University

This practical guide shows how to facilitate collaboration among diverse individuals and organizations to navigate complexity and create change in our interconnected world. The social and environmental challenges we face today are not only complex, they are also systemic and structural and have no obvious solutions. They require diverse combinations of people, organizations, and sectors to coordinate actions and work together even when the way forward is unclear. Even so, collaborative efforts often fail because they attempt to navigate complexity with traditional strategic plans, created by hierarchies that ignore the way people naturally connect. By embracing a living-systems approach to organizing, impact networks bring people together to build relationships across boundaries; leverage the existing work, skills, and motivations of the group; and make progress amid unpredictable and ever-changing conditions. As a powerful and flexible organizing system that can span regions, organizations, and silos of all kinds, impact networks underlie some of the most impressive and large-scale efforts to create change across the globe. David Ehrlichman draws on his experience as a network builder; interviews with dozens of network leaders; and insights from the fields of network science, community building, and systems thinking to provide a clear process for creating and developing impact networks. Given the increasing complexity of our society and the issues we face, our ability to form, grow, and work through networks has never been more essential.

When Murat Sertel asked us whether we would be interested in organizing a special issue of the Review of Economic Design on the formation of networks and groups, we were happy to accept because of the growing research on this important topic. We were also pleasantly surprised at the response to our request for submissions to the special issue, receiving a much larger number of sub missions than we had anticipated. In the end we were able to put together two special issues of insightful papers on this topic. Given the growing interest in this topic, we also decided (with encouragement from Murat) to combine the special issues in the form of a book for wider dissemination. However, once we had decided to edit the book, it was natural to move beyond the special issue to include at least some of the papers that have been influential in the literature on the formation of networks. These papers were published in other journals, and we are very grateful to the authors as well as the journals for permission to include these papers in the book.

Something new and important is afoot. Nonprofit and philanthropic organizations are under increasing pressure to do more and to do better to increase and improve productivity with fewer resources. Social entrepreneurs, community-minded leaders, nonprofit organizations, and philanthropists now recognize that to achieve greater impact they must adopt a network-centric approach to solving difficult problems. Building networks of like-minded organizations and people offers them a way to weave together and create strong alliances that get better leverage, performance, and results than any single organization is able to do. While the advantages of such networks are clear, there are few resources that offer easily understandable, field-tested information on how to form and manage social-impact networks. Drawn from the authors’ deep experience with more than thirty successful network projects, Connecting to Change the World provides the frameworks, practical advice, case studies, and expert knowledge needed to build better performing networks. Readers will gain greater confidence and ability to anticipate challenges and opportunities. Easily understandable and full of actionable advice, Connecting to Change the World is an informative guide to creating collaborative solutions to tackle the most difficult challenges society faces.

Online communities are among the most obvious manifestations of social networks based on new media technology. Facilitating ad-hoc communication and leveraging collective intelligence by matching similar or related users have become important success factors in almost every successful business plan. Researchers are just beginning to understand virtual communities and collaborations among participants currently proliferating across the world. Virtual Communities, Social Networks and Collaboration covers cutting edge research topics of utmost real-world importance in the specific domain of social networks. This volume focuses on exploring issues relating to the design, development, and outcomes from electronic groups and online communities, including: - The implications of social networking, - Understanding of how and why knowledge is shared among participants, - What leads to participation, effective collaboration, co-creation and innovation, - How organizations can better utilize the potential benefits of communities in both internal operations, marketing, and new product development.

A powerful, visual framework helps managers discover how employees really communicate and collaborate to get work done - and helps them identify ways they can influence these social networks to improve performance and innovation. In The Hidden Power of Social Networks, Cross and Parker, experts in "social network analysis"—a technique that visually maps relationships between people in large, distributed groups - apply this powerful tool to management for the first time. Based on their in-depth study of sixty informal employee networks in well-known companies around the world, Cross and Parker show managers how to conduct a social network analysis of their organization.

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.

Here is a fresh, intriguing, and, above all, authoritative book about how our sometimes hidden positions in various social structures—our human networks—shape how we think and behave, and inform our very outlook on life. Inequality, social immobility, and political polarization are only a few crucial phenomena driven by the inevitability of social structures. Social structures determine who has power and influence, account for why people fail to assimilate basic facts, and enlarge our understanding of patterns of contagion—from the spread of disease to financial crises. Despite their primary role in shaping our lives, human networks are often overlooked when we try to account for our most important political and economic practices. Matthew O. Jackson brilliantly illuminates the complexity of the social networks in which we are—often unwittingly—positioned and aims to facilitate a deeper appreciation of why we are who we are. Ranging across disciplines—psychology, behavioral economics, sociology, and business—and rich with historical analogies and anecdotes, The Human Network provides a galvanizing account of what can drive success or failure in life.

This text addresses the mutual influences between information technology and group formation and development, in order to assess the impact of computer-mediated communications on both work and play. Areas discussed include the growth of the Internet and the nature of network communication.

To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.