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Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.
Social network analysis provides a meaningful lens for advancing a more nuanced understanding of the communication networks and practices that bring together policy advocates and practitioners in their day-to-day efforts to broker evidence into policymaking processes. This book advances knowledge brokerage scholarship and methodology as applied to policymaking contexts, focusing on the ways in which knowledge and research are utilized, and go on to influence policy and practice decisions across domains, including communication, health and education. There is a growing recognition that knowledge brokers – key intermediaries – have an important role in calling attention to research evidence that can facilitate the successful implementation of evidence-informed policies and practices. The chapters in this volume focus explicitly on the history of knowledge brokerage research in these contexts and the frameworks and methodologies that bridge these disparate domains. The contributors to this volume offer useful typologies of knowledge brokerage and explicate the range of causal mechanisms that enable knowledge brokers’ influence on policymaking. The work included in this volume responds to this emerging interest by comparing, assessing, and delineating social network approaches to knowledge brokerage across domains. The book is a useful resource for students and scholars of social network analysis and policymaking, including in health, communication, public policy and education policy.
Examines the 'knowledge network' whose primary mandate is to create and disseminate knowledge based on multidisciplinary research that is informed by problem-solving as well as theoretical agendas.
Surveys the global scientific landscape in 2011, noting the shift to an increasingly multipolar world underpinned by the rise of new scientific powers such as China, India and Brazil; as well as the emergence of scientific nations in the Middle East, South-East Asia and North Africa. The scientific world is also becoming more interconnected, with international collaboration on the rise.
In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.
Ancient Knowledge Networks is a book about how knowledge travels, in minds and bodies as well as in writings. It explores the forms knowledge takes and the meanings it accrues, and how these meanings are shaped by the peoples who use it.Addressing the relationships between political power, family ties, religious commitments and literate scholarship in the ancient Middle East of the first millennium BC, Eleanor Robson focuses on two regions where cuneiform script was the predominant writing medium: Assyria in the north of modern-day Syria and Iraq, and Babylonia to the south of modern-day Baghdad. She investigates how networks of knowledge enabled cuneiform intellectual culture to endure and adapt over the course of five world empires until its eventual demise in the mid-first century BC. In doing so, she also studies Assyriological and historical method, both now and over the past two centuries, asking how the field has shaped and been shaped by the academic concerns and fashions of the day. Above all, Ancient Knowledge Networks is an experiment in writing about ‘Mesopotamian science’, as it has often been known, using geographical and social approaches to bring new insights into the intellectual history of the world’s first empires.
The receipt of knowledge is a key ingredient by which the tourism sector can adjust and adapt to its dynamic environment. However although its importance has long been recognised the fragmentation within the sector, largely as a result of it being comprised of small and medium sized businesses, makes understanding knowledge management challenging. This book applies knowledge management and social network theories to the business of tourism to shed light on successful operations of tourism knowledge networks. It contributes specifically to understanding a network perspective of the tourism sector, the information needs of tourism businesses, social network dynamics of tourism business operation, knowledge flows within the tourism sector and the transformation of the tourism sector through knowledge networks. Social Network Analysis is applied to fully explore the growth and maintenance of tourism knowledge networks and the relationships between tourism sector stakeholders in relation to their knowledge requirements. Knowledge Networks and Tourism will be valuable reading for all those interested in successful operations of tourism knowledge networks.
Introducing the basic concepts in total program control of the intelligent agents and machines, Intelligent Internet Knowledge Networks explores the design and architecture of information systems that include and emphasize the interactive role of modern computer/communication systems and human beings. Here, you’ll discover specific network configurations that sense environments, presented through case studies of IT platforms, electrical governments, medical networks, and educational networks.
Higher education has become a worldwide phenomenon where students now travel internationally to pursue courses and careers, not simply as a global enterprise, but as a network of worldwide interconnections. The Origins of Higher Learning: Knowledge networks and the early development of universities is an account of the first globalisation that has led us to this point, telling of how humankind first developed centres of higher learning across the vast landmass from the Atlantic to the China Sea. This book opens a much-needed debate on the origins of higher learning, exploring how, why and where humankind first began to take a sustained interest in questions that went beyond daily survival. Showing how these concerns became institutionalised and how knowledge came to be transferred from place to place, this book explores important aspects of the forerunners of globalisation. It is a narrative which covers much of Asia, North Africa and Europe, many parts of which were little known beyond their own boundaries. Spanning from the earliest civilisations to the end of the European Middle Ages, around 700 years ago, here the authors set out crucial findings for future research and investigation. This book shows how interconnections across continents are nothing new and that in reality, humankind has been interdependent for a much longer period than is widely recognised. It is a book which challenges existing accounts of the origins of higher learning in Europe and will be of interest to all those who wish to know more about the world of academia.
Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.