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Networks For Knowledge
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Book Synopsis Networks in the Knowledge Economy by : Rob Cross
Download or read book Networks in the Knowledge Economy written by Rob Cross and published by Oxford University Press, USA. This book was released on 2003-08-14 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge Networks by : Denise Bedford
Download or read book Knowledge Networks written by Denise Bedford and published by Emerald Group Publishing. This book was released on 2021-10-26 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Ancient Knowledge Networks by : Eleanor Robson
Download or read book Ancient Knowledge Networks written by Eleanor Robson and published by UCL Press. This book was released on 2019-11-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge Networks by : Paul M. Hildreth
Download or read book Knowledge Networks written by Paul M. Hildreth and published by IGI Global. This book was released on 2004-01-01 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Networks: Innovation Through Communities of Practice explores the inner workings of an organizational, internationally distributed Community of Practice. The book highlights the weaknesses of the 'traditional' KM approach of 'capture-codify-store' and asserts that communities of practice are recognized as groups where soft (knowledge that cannot be captured) knowledge is created and sustained. Readers will gain insight into a period the life of a distributed international community of practice by following the members as they work, meet, collaborate, interact and socialize.
Book Synopsis Empires of Knowledge by : Paula Findlen
Download or read book Empires of Knowledge written by Paula Findlen and published by Routledge. This book was released on 2018-10-26 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empires of Knowledge charts the emergence of different kinds of scientific networks – local and long-distance, informal and institutional, religious and secular – as one of the important phenomena of the early modern world. It seeks to answer questions about what role these networks played in making knowledge, how information traveled, how it was transformed by travel, and who the brokers of this world were. Bringing together an international group of historians of science and medicine, this book looks at the changing relationship between knowledge and community in the early modern period through case studies connecting Europe, Asia, the Ottoman Empire, and the Americas. It explores a landscape of understanding (and misunderstanding) nature through examinations of well-known intelligencers such as overseas missions, trading companies, and empires while incorporating more recent scholarship on the many less prominent go-betweens, such as translators and local experts, which made these networks of knowledge vibrant and truly global institutions. Empires of Knowledge is the perfect introduction to the global history of early modern science and medicine.
Book Synopsis Knowledge Management and Innovation in Networks by : A. P. De Man
Download or read book Knowledge Management and Innovation in Networks written by A. P. De Man and published by Edward Elgar Publishing. This book was released on 2008-01-01 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an ever-increasing amount of innovation takes place within networks, companies are collaborating in developing and marketing new products, services and practices. This in turn requires knowledge to flow across company boundaries. This book demonstrates how companies encourage this knowledge to flow in networks that can involve dozens of partners. Substantiated by five in-depth case studies of innovative networks, the authors identify and analyse the solutions implemented by companies in order to meet the key knowledge management challenges they encounter. Theoretical and management implications of the study are then defined. Connecting the organization theory of networks with knowledge management theory, this book will be of great interest to academics and students in business administration, especially in the areas of organization, strategy, supply chains and knowledge management.
Book Synopsis Knowledge Networks and Tourism by : Michelle McLeod
Download or read book Knowledge Networks and Tourism written by Michelle McLeod and published by Routledge. This book was released on 2014-11-20 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Innovation, Networks, and Knowledge Spillovers by : Manfred M. Fischer
Download or read book Innovation, Networks, and Knowledge Spillovers written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2006-12-02 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers the topic of innovation in three sections, first demonstrating that processes of innovation and technological change are spatially differentiated, second examining the increasing importance of knowledge creation and diffusion, and third raising key issues related to the systems of innovation approach as a conceptual framwork for regional innovation analysis. Includes enlightening conceptual and empirical work on the issue of how knowledge spills over locally.
Book Synopsis Knowledge Networks: The Social Software Perspective by : Lytras, Miltiadis D.
Download or read book Knowledge Networks: The Social Software Perspective written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2008-11-30 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book concentrates on strategies that exploit emerging technologies for the knowledge effectiveness in social networks"--Provided by publisher.
Book Synopsis Networks, Knowledge Brokers, and the Public Policymaking Process by : Matthew S. Weber
Download or read book Networks, Knowledge Brokers, and the Public Policymaking Process written by Matthew S. Weber and published by Springer Nature. This book was released on 2021-11-03 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Intelligent Internet Knowledge Networks by : Syed V. Ahamed
Download or read book Intelligent Internet Knowledge Networks written by Syed V. Ahamed and published by John Wiley & Sons. This book was released on 2006-11-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Networks in the Knowledge Economy by : Rob Cross
Download or read book Networks in the Knowledge Economy written by Rob Cross and published by Oxford University Press. This book was released on 2003-07-17 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Agricultural Knowledge Networks in Rural Europe, 1700-2000 by : Yves Segers
Download or read book Agricultural Knowledge Networks in Rural Europe, 1700-2000 written by Yves Segers and published by Boydell & Brewer. This book was released on 2022-06-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of how farming expertise could be shared and extended, over four centuries.
Download or read book Curious Minds written by Perry Zurn and published by MIT Press. This book was released on 2022-09-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exhilarating, genre-bending exploration of curiosity’s powerful capacity to connect ideas and people. Curious about something? Google it. Look at it. Ask a question. But is curiosity simply information seeking? According to this exhilarating, genre-bending book, what’s left out of the conventional understanding of curiosity are the wandering tracks, the weaving concepts, the knitting of ideas, and the thatching of knowledge systems—the networks, the relations between ideas and between people. Curiosity, say Perry Zurn and Dani Bassett, is a practice of connection: it connects ideas into networks of knowledge, and it connects knowers themselves, both to the knowledge they seek and to each other. Zurn and Bassett—identical twins who write that their book “represents the thought of one mind and two bodies”—harness their respective expertise in the humanities and the sciences to get irrepressibly curious about curiosity. Traipsing across literatures of antiquity and medieval science, Victorian poetry and nature essays, as well as work by writers from a variety of marginalized communities, they trace a multitudinous curiosity. They identify three styles of curiosity—the busybody, who collects stories, creating loose knowledge networks; the hunter, who hunts down secrets or discoveries, creating tight networks; and the dancer, who takes leaps of creative imagination, creating loopy ones. Investigating what happens in a curious brain, they offer an accessible account of the network neuroscience of curiosity. And they sketch out a new kind of curiosity-centric and inclusive education that embraces everyone’s curiosity. The book performs the very curiosity that it describes, inviting readers to participate—to be curious with the book and not simply about it.
Book Synopsis Neural Networks for Knowledge Representation and Inference by : Daniel S. Levine
Download or read book Neural Networks for Knowledge Representation and Inference written by Daniel S. Levine and published by Psychology Press. This book was released on 2013-04-15 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.
Book Synopsis Graph Representation Learning by : William L. William L. Hamilton
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Book Synopsis Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by : Nikola K. Kasabov
Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
