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Turning Points: The Nature of Creativity

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Personen und Körperschaften: Chen, Chaomei (VerfasserIn)
Titel: Turning Points: The Nature of Creativity/ by Chaomei Chen
Format: E-Book
Sprache: Englisch
veröffentlicht:
Berlin, Heidelberg Springer Berlin Heidelberg 2011
Gesamtaufnahme: SpringerLink
Springer eBook Collection
Schlagwörter:
Buchausg. u.d.T.: Chen, Chaomei, 1960 - , Turning points, Berlin : Springer, 2011, XVI, 268, [9] S.
Quelle: Verbunddaten SWB
Zugangsinformationen: Elektronischer Volltext - Campuslizenz
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505 8 0 |a Title Page; Copyright Page; Foreword; Preface; Acknowledgements; Table of Contents; Chapter 1 The Gathering Storm; 1.1 The Gathering Storm; 1.2 Into the Eye of the Storm; 1.3 The Yuasa Phenomenon; 1.4 Transformative Research and the Nature of Creativity; 1.5 Science and Society; 1.6 Summary; References; Chapter 2 Creative Thinking; 2.1 Beyond Serendipity; 2.2 The Study of Creative Work; 2.3 Divergent Thinking; 2.4 Blind Variation and Selective Retention; 2.5 Binding Free-Floating Elements of Knowledge; 2.6 Janusian Thinking; 2.7 TRIZ; 2.8 Summary; References 
505 8 0 |a Chapter 3 Cognitive Biases and Pitfalls3.1 Finding Needles in a Haystack; 3.1.1 Compounds in Chemical Space; 3.1.2 Change Blindness; 3.1.3 Missing the Obvious; 3.2 Mental Models and Biases; 3.2.1 Connecting the Right Dots; 3.2.2 Rejecting Nobel Prize Worthy Works; 3.3 Challenges to be Creative; 3.3.1 Reasoning by Analogy; 3.3.2 Competing Hypotheses; 3.4 Boundary Objects; 3.5 Early Warning Signs; 3.6 Summary; References; Chapter 4 Recognizing the Potential of Research; 4.1 Hindsight; 4.1.1 Hibernating Bears; 4.1.2 Risks and Payoffs; 4.1.3 Project Hindsight; 4.1.4 TRACES; 4.2 Foresight 
505 8 0 |a 4.2.1 Looking Ahead4.2.2 Identifying Priorities; 4.2.3 The Delphi Method; 4.2.4 Hindsight on Foresight; 4.3 Summary; References; Chapter 5 Foraging; 5.1 An Information-Theoretic View of Visual Analytics; 5.1.1 Information Foraging and Sensemaking; 5.1.2 Evidence and Beliefs; 5.1.3 Salience and Novelty; 5.1.4 Structural Holes and Brokerage; 5.1.5 Macroscopic Views of Information Contents; 5.2 Turning Points; 5.2.1 The Index of the Interesting; 5.2.2 Proteus Phenomenon; 5.2.3 The Concept of Scientific Change; 5.2.4 Specialties and Scientific Change; 5.2.5 Knowledge Diffusion 
505 8 0 |a 5.2.6 Predictors of Future Citations5.3 Generic Mechanisms for Scientific Discovery; 5.3.1 Scientific Discovery as Problem Solving; 5.3.2 Literature-Based Discovery; 5.3.3 Spanning Diverse Perspectives; 5.3.4 Bridging Intellectual Structural Holes; 5.4 An Explanatory and Computational Theory of Discovery; 5.4.1 Basic Elements of the Theory; 5.4.2 Structural and Temporal Properties; 5.4.3 Integration; 5.4.4 Case Studies; 5.4.4.1 Peptic Ulcer; 5.4.4.2 Gene Targeting and the Sticky Effect; 5.4.4.3 String Theory; 5.5 Summary; References; Chapter 6 Knowledge Domain Analysis 
505 8 0 |a 6.1 Progressive Knowledge Domain Visualization6.1.1 Scientific Revolutions; 6.1.2 Tasks; 6.1.2.1 Improving the Clarity of Networks; 6.1.2.2 Merging Heterogeneous Networks; 6.1.2.3 Visually Salient Nodes in Merged Networks; 6.1.3 CiteSpace; 6.1.3.1 Time Slicing; 6.1.3.2 Sampling; 6.1.3.3 Modeling; 6.1.3.4 Pruning; 6.1.3.5 Merging; 6.1.3.6 Mapping; 6.1.3.7 Case Study: Superstring; 6.1.3.8 Other Examples; 6.2 A Multiple-Perspective Co-Citation Analysis; 6.2.1 Extending the Traditional Procedure; 6.2.2 Metrics; 6.2.3 Clustering; 6.2.4 Automatic Cluster Labeling; 6.2.5 Visual Design 
505 8 0 |a 6.3 A Domain Analysis of Information Science 
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contents Title Page; Copyright Page; Foreword; Preface; Acknowledgements; Table of Contents; Chapter 1 The Gathering Storm; 1.1 The Gathering Storm; 1.2 Into the Eye of the Storm; 1.3 The Yuasa Phenomenon; 1.4 Transformative Research and the Nature of Creativity; 1.5 Science and Society; 1.6 Summary; References; Chapter 2 Creative Thinking; 2.1 Beyond Serendipity; 2.2 The Study of Creative Work; 2.3 Divergent Thinking; 2.4 Blind Variation and Selective Retention; 2.5 Binding Free-Floating Elements of Knowledge; 2.6 Janusian Thinking; 2.7 TRIZ; 2.8 Summary; References, Chapter 3 Cognitive Biases and Pitfalls3.1 Finding Needles in a Haystack; 3.1.1 Compounds in Chemical Space; 3.1.2 Change Blindness; 3.1.3 Missing the Obvious; 3.2 Mental Models and Biases; 3.2.1 Connecting the Right Dots; 3.2.2 Rejecting Nobel Prize Worthy Works; 3.3 Challenges to be Creative; 3.3.1 Reasoning by Analogy; 3.3.2 Competing Hypotheses; 3.4 Boundary Objects; 3.5 Early Warning Signs; 3.6 Summary; References; Chapter 4 Recognizing the Potential of Research; 4.1 Hindsight; 4.1.1 Hibernating Bears; 4.1.2 Risks and Payoffs; 4.1.3 Project Hindsight; 4.1.4 TRACES; 4.2 Foresight, 4.2.1 Looking Ahead4.2.2 Identifying Priorities; 4.2.3 The Delphi Method; 4.2.4 Hindsight on Foresight; 4.3 Summary; References; Chapter 5 Foraging; 5.1 An Information-Theoretic View of Visual Analytics; 5.1.1 Information Foraging and Sensemaking; 5.1.2 Evidence and Beliefs; 5.1.3 Salience and Novelty; 5.1.4 Structural Holes and Brokerage; 5.1.5 Macroscopic Views of Information Contents; 5.2 Turning Points; 5.2.1 The Index of the Interesting; 5.2.2 Proteus Phenomenon; 5.2.3 The Concept of Scientific Change; 5.2.4 Specialties and Scientific Change; 5.2.5 Knowledge Diffusion, 5.2.6 Predictors of Future Citations5.3 Generic Mechanisms for Scientific Discovery; 5.3.1 Scientific Discovery as Problem Solving; 5.3.2 Literature-Based Discovery; 5.3.3 Spanning Diverse Perspectives; 5.3.4 Bridging Intellectual Structural Holes; 5.4 An Explanatory and Computational Theory of Discovery; 5.4.1 Basic Elements of the Theory; 5.4.2 Structural and Temporal Properties; 5.4.3 Integration; 5.4.4 Case Studies; 5.4.4.1 Peptic Ulcer; 5.4.4.2 Gene Targeting and the Sticky Effect; 5.4.4.3 String Theory; 5.5 Summary; References; Chapter 6 Knowledge Domain Analysis, 6.1 Progressive Knowledge Domain Visualization6.1.1 Scientific Revolutions; 6.1.2 Tasks; 6.1.2.1 Improving the Clarity of Networks; 6.1.2.2 Merging Heterogeneous Networks; 6.1.2.3 Visually Salient Nodes in Merged Networks; 6.1.3 CiteSpace; 6.1.3.1 Time Slicing; 6.1.3.2 Sampling; 6.1.3.3 Modeling; 6.1.3.4 Pruning; 6.1.3.5 Merging; 6.1.3.6 Mapping; 6.1.3.7 Case Study: Superstring; 6.1.3.8 Other Examples; 6.2 A Multiple-Perspective Co-Citation Analysis; 6.2.1 Extending the Traditional Procedure; 6.2.2 Metrics; 6.2.3 Clustering; 6.2.4 Automatic Cluster Labeling; 6.2.5 Visual Design, 6.3 A Domain Analysis of Information Science, Turning Points -- Saliency and Novelty -- Informetics -- Visual Analytics -- Case Studies -- Research Agenda, "Turning Points: The Nature of Creativity" discusses theories and methods focusing on a critical concept of intellectual turning points in the context of critical thinking, scientific discovery, and problem solving in general. This book introduces a novel analytical and experimental system that provides not only new ways for retrospective studies of scientific change but also for characterizing transformative potentials of prospective scientific contributions. The book is intended for scientists and researchers in the fields of information science and computer science. Dr. Chaomei Chen is an Associate Professor at the College of Information Science and Technology, Drexel University, USA
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spelling Chen, Chaomei 1960- (DE-588)120722372 (DE-627)080850766 (DE-576)180479679 aut, Turning Points The Nature of Creativity by Chaomei Chen, Berlin, Heidelberg Springer Berlin Heidelberg 2011, Online-Ressource (Approx. 300 p. 80 illus., 50 illus. in color, digital), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, SpringerLink Bücher, Springer eBook Collection, Description based upon print version of record, Title Page; Copyright Page; Foreword; Preface; Acknowledgements; Table of Contents; Chapter 1 The Gathering Storm; 1.1 The Gathering Storm; 1.2 Into the Eye of the Storm; 1.3 The Yuasa Phenomenon; 1.4 Transformative Research and the Nature of Creativity; 1.5 Science and Society; 1.6 Summary; References; Chapter 2 Creative Thinking; 2.1 Beyond Serendipity; 2.2 The Study of Creative Work; 2.3 Divergent Thinking; 2.4 Blind Variation and Selective Retention; 2.5 Binding Free-Floating Elements of Knowledge; 2.6 Janusian Thinking; 2.7 TRIZ; 2.8 Summary; References, Chapter 3 Cognitive Biases and Pitfalls3.1 Finding Needles in a Haystack; 3.1.1 Compounds in Chemical Space; 3.1.2 Change Blindness; 3.1.3 Missing the Obvious; 3.2 Mental Models and Biases; 3.2.1 Connecting the Right Dots; 3.2.2 Rejecting Nobel Prize Worthy Works; 3.3 Challenges to be Creative; 3.3.1 Reasoning by Analogy; 3.3.2 Competing Hypotheses; 3.4 Boundary Objects; 3.5 Early Warning Signs; 3.6 Summary; References; Chapter 4 Recognizing the Potential of Research; 4.1 Hindsight; 4.1.1 Hibernating Bears; 4.1.2 Risks and Payoffs; 4.1.3 Project Hindsight; 4.1.4 TRACES; 4.2 Foresight, 4.2.1 Looking Ahead4.2.2 Identifying Priorities; 4.2.3 The Delphi Method; 4.2.4 Hindsight on Foresight; 4.3 Summary; References; Chapter 5 Foraging; 5.1 An Information-Theoretic View of Visual Analytics; 5.1.1 Information Foraging and Sensemaking; 5.1.2 Evidence and Beliefs; 5.1.3 Salience and Novelty; 5.1.4 Structural Holes and Brokerage; 5.1.5 Macroscopic Views of Information Contents; 5.2 Turning Points; 5.2.1 The Index of the Interesting; 5.2.2 Proteus Phenomenon; 5.2.3 The Concept of Scientific Change; 5.2.4 Specialties and Scientific Change; 5.2.5 Knowledge Diffusion, 5.2.6 Predictors of Future Citations5.3 Generic Mechanisms for Scientific Discovery; 5.3.1 Scientific Discovery as Problem Solving; 5.3.2 Literature-Based Discovery; 5.3.3 Spanning Diverse Perspectives; 5.3.4 Bridging Intellectual Structural Holes; 5.4 An Explanatory and Computational Theory of Discovery; 5.4.1 Basic Elements of the Theory; 5.4.2 Structural and Temporal Properties; 5.4.3 Integration; 5.4.4 Case Studies; 5.4.4.1 Peptic Ulcer; 5.4.4.2 Gene Targeting and the Sticky Effect; 5.4.4.3 String Theory; 5.5 Summary; References; Chapter 6 Knowledge Domain Analysis, 6.1 Progressive Knowledge Domain Visualization6.1.1 Scientific Revolutions; 6.1.2 Tasks; 6.1.2.1 Improving the Clarity of Networks; 6.1.2.2 Merging Heterogeneous Networks; 6.1.2.3 Visually Salient Nodes in Merged Networks; 6.1.3 CiteSpace; 6.1.3.1 Time Slicing; 6.1.3.2 Sampling; 6.1.3.3 Modeling; 6.1.3.4 Pruning; 6.1.3.5 Merging; 6.1.3.6 Mapping; 6.1.3.7 Case Study: Superstring; 6.1.3.8 Other Examples; 6.2 A Multiple-Perspective Co-Citation Analysis; 6.2.1 Extending the Traditional Procedure; 6.2.2 Metrics; 6.2.3 Clustering; 6.2.4 Automatic Cluster Labeling; 6.2.5 Visual Design, 6.3 A Domain Analysis of Information Science, Turning Points -- Saliency and Novelty -- Informetics -- Visual Analytics -- Case Studies -- Research Agenda, "Turning Points: The Nature of Creativity" discusses theories and methods focusing on a critical concept of intellectual turning points in the context of critical thinking, scientific discovery, and problem solving in general. This book introduces a novel analytical and experimental system that provides not only new ways for retrospective studies of scientific change but also for characterizing transformative potentials of prospective scientific contributions. The book is intended for scientists and researchers in the fields of information science and computer science. Dr. Chaomei Chen is an Associate Professor at the College of Information Science and Technology, Drexel University, USA, Computer science, Science Philosophy, Science Study and teaching, Humanities, Computer Science, Information systems, Library science, s (DE-588)4032903-3 (DE-627)106259733 (DE-576)208999248 Kreativität gnd, s (DE-588)4076358-4 (DE-627)104535806 (DE-576)209201657 Problemlösen gnd, s (DE-588)4139030-1 (DE-627)104369949 (DE-576)209691026 Computerunterstütztes Verfahren gnd, DE-101, (DE-627), 9783642191596, Buchausg. u.d.T. Chen, Chaomei, 1960 - Turning points Berlin : Springer, 2011 XVI, 268, [9] S. (DE-627)1614084777 (DE-576)353766305 9787040317039 9783642191596 3642191592, https://doi.org/10.1007/978-3-642-19160-2 X:SPRINGER Verlag lizenzpflichtig Volltext, http://dx.doi.org/10.1007/978-3-642-19160-2 Resolving-System Volltext, http://d-nb.info/1009499262/04 B:DE-101 application/pdf 2013-05-01 Verlag Inhaltsverzeichnis, http://deposit.d-nb.de/cgi-bin/dokserv?id=3650282&prov=M&dok_var=1&dok_ext=htm X: MVB text/html 2013-05-01 Verlag Inhaltstext, (DE-627)715037560, http://dx.doi.org/10.1007/978-3-642-19160-2 DE-Ch1, DE-Ch1 epn:3347032071 2012-04-10T09:46:43Z, http://dx.doi.org/10.1007/978-3-642-19160-2 Zum Online-Dokument DE-Zi4, DE-Zi4 epn:334703211X 2012-11-10T00:52:00Z, http://dx.doi.org/10.1007/978-3-642-19160-2 DE-520, DE-520 epn:3347032187 2012-04-10T09:46:42Z
spellingShingle Chen, Chaomei, Turning Points: The Nature of Creativity, Title Page; Copyright Page; Foreword; Preface; Acknowledgements; Table of Contents; Chapter 1 The Gathering Storm; 1.1 The Gathering Storm; 1.2 Into the Eye of the Storm; 1.3 The Yuasa Phenomenon; 1.4 Transformative Research and the Nature of Creativity; 1.5 Science and Society; 1.6 Summary; References; Chapter 2 Creative Thinking; 2.1 Beyond Serendipity; 2.2 The Study of Creative Work; 2.3 Divergent Thinking; 2.4 Blind Variation and Selective Retention; 2.5 Binding Free-Floating Elements of Knowledge; 2.6 Janusian Thinking; 2.7 TRIZ; 2.8 Summary; References, Chapter 3 Cognitive Biases and Pitfalls3.1 Finding Needles in a Haystack; 3.1.1 Compounds in Chemical Space; 3.1.2 Change Blindness; 3.1.3 Missing the Obvious; 3.2 Mental Models and Biases; 3.2.1 Connecting the Right Dots; 3.2.2 Rejecting Nobel Prize Worthy Works; 3.3 Challenges to be Creative; 3.3.1 Reasoning by Analogy; 3.3.2 Competing Hypotheses; 3.4 Boundary Objects; 3.5 Early Warning Signs; 3.6 Summary; References; Chapter 4 Recognizing the Potential of Research; 4.1 Hindsight; 4.1.1 Hibernating Bears; 4.1.2 Risks and Payoffs; 4.1.3 Project Hindsight; 4.1.4 TRACES; 4.2 Foresight, 4.2.1 Looking Ahead4.2.2 Identifying Priorities; 4.2.3 The Delphi Method; 4.2.4 Hindsight on Foresight; 4.3 Summary; References; Chapter 5 Foraging; 5.1 An Information-Theoretic View of Visual Analytics; 5.1.1 Information Foraging and Sensemaking; 5.1.2 Evidence and Beliefs; 5.1.3 Salience and Novelty; 5.1.4 Structural Holes and Brokerage; 5.1.5 Macroscopic Views of Information Contents; 5.2 Turning Points; 5.2.1 The Index of the Interesting; 5.2.2 Proteus Phenomenon; 5.2.3 The Concept of Scientific Change; 5.2.4 Specialties and Scientific Change; 5.2.5 Knowledge Diffusion, 5.2.6 Predictors of Future Citations5.3 Generic Mechanisms for Scientific Discovery; 5.3.1 Scientific Discovery as Problem Solving; 5.3.2 Literature-Based Discovery; 5.3.3 Spanning Diverse Perspectives; 5.3.4 Bridging Intellectual Structural Holes; 5.4 An Explanatory and Computational Theory of Discovery; 5.4.1 Basic Elements of the Theory; 5.4.2 Structural and Temporal Properties; 5.4.3 Integration; 5.4.4 Case Studies; 5.4.4.1 Peptic Ulcer; 5.4.4.2 Gene Targeting and the Sticky Effect; 5.4.4.3 String Theory; 5.5 Summary; References; Chapter 6 Knowledge Domain Analysis, 6.1 Progressive Knowledge Domain Visualization6.1.1 Scientific Revolutions; 6.1.2 Tasks; 6.1.2.1 Improving the Clarity of Networks; 6.1.2.2 Merging Heterogeneous Networks; 6.1.2.3 Visually Salient Nodes in Merged Networks; 6.1.3 CiteSpace; 6.1.3.1 Time Slicing; 6.1.3.2 Sampling; 6.1.3.3 Modeling; 6.1.3.4 Pruning; 6.1.3.5 Merging; 6.1.3.6 Mapping; 6.1.3.7 Case Study: Superstring; 6.1.3.8 Other Examples; 6.2 A Multiple-Perspective Co-Citation Analysis; 6.2.1 Extending the Traditional Procedure; 6.2.2 Metrics; 6.2.3 Clustering; 6.2.4 Automatic Cluster Labeling; 6.2.5 Visual Design, 6.3 A Domain Analysis of Information Science, Turning Points -- Saliency and Novelty -- Informetics -- Visual Analytics -- Case Studies -- Research Agenda, "Turning Points: The Nature of Creativity" discusses theories and methods focusing on a critical concept of intellectual turning points in the context of critical thinking, scientific discovery, and problem solving in general. This book introduces a novel analytical and experimental system that provides not only new ways for retrospective studies of scientific change but also for characterizing transformative potentials of prospective scientific contributions. The book is intended for scientists and researchers in the fields of information science and computer science. Dr. Chaomei Chen is an Associate Professor at the College of Information Science and Technology, Drexel University, USA, Computer science, Science Philosophy, Science Study and teaching, Humanities, Computer Science, Information systems, Library science, Kreativität, Problemlösen, Computerunterstütztes Verfahren
swb_id_str 363410880
title Turning Points: The Nature of Creativity
title_auth Turning Points The Nature of Creativity
title_full Turning Points The Nature of Creativity by Chaomei Chen
title_fullStr Turning Points The Nature of Creativity by Chaomei Chen
title_full_unstemmed Turning Points The Nature of Creativity by Chaomei Chen
title_short Turning Points
title_sort turning points the nature of creativity
title_sub The Nature of Creativity
title_unstemmed Turning Points: The Nature of Creativity
topic Computer science, Science Philosophy, Science Study and teaching, Humanities, Computer Science, Information systems, Library science, Kreativität, Problemlösen, Computerunterstütztes Verfahren
topic_facet Computer science, Science, Humanities, Computer Science, Information systems, Library science, Philosophy, Study and teaching, Kreativität, Problemlösen, Computerunterstütztes Verfahren
url https://doi.org/10.1007/978-3-642-19160-2, http://dx.doi.org/10.1007/978-3-642-19160-2, http://d-nb.info/1009499262/04, http://deposit.d-nb.de/cgi-bin/dokserv?id=3650282&prov=M&dok_var=1&dok_ext=htm