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Details
Table of Contents
About the Authors
Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 The Prism of Patent Big Data
1.1.1 The Vs to the Patent Big Data Paradigm
1.1.2 Coping with Patent Big Data Complexity
1.1.3 Harnessing Patent Big Data Analytics to Make a Difference
1.2 Overview of the Book
1.2.1 Part I: Patent as Data
1.2.2 Part II: Network Analytics
1.2.3 Part III: Uncover Corporate Innovation with Patent Analytics
1.2.4 Part IV: Future Developments with AI
References
Part I Patent as Data
2 A Brief History of Patents
2.1 The Prelude of the Patent System
2.2 The First Patent with Claims
2.3 The Great Fire and Patent Numbering
2.4 Genesis of Citations
2.5 Summary
References
3 Understanding Patent Data
3.1 Patents, Designs, and Trademarks
3.2 A Walk Through of Patent Data Fields
3.2.1 INID Codes and Bibliographic Data
3.2.2 Patent Numbering System and Kind-Of-Documents
3.2.3 Patent Classification System
3.2.4 International Patent Classification (INID Code: 51)
3.2.5 Cooperative Patent Classification (INID Code: 52)
3.3 Same Same, but Different Design Patents
3.4 Comprehending Trademark Data
3.5 Summary
References
4 Claims, "Legally, Less is More!"
4.1 Disentangling Patent Claims
4.2 Broad or Narrow: All-Elements Rule
4.3 Anatomy of Patent Claims
4.4 The Butterfly Effect of Design Patents
4.5 Summary
References
Part II Network Analytics
5 Basic Network Concepts
5.1 Why Does Patent Network Analysis Matter?
5.2 Basic Concept of Network and Graph Theory
5.2.1 Node, Edges, and Attributes
5.2.2 Undirected and Directed Network
5.2.3 One-Mode and Two-Mode Networks
5.2.4 Ego Networks and Complete Networks
5.3 Network Metrics
5.3.1 Centrality
5.3.2 Network Diameter and Density
5.3.3 Clustering and Modularity
5.4 Summary
References
6 Patent Citations Analysis
6.1 The Meaning of Patent Citations
6.2 How to Scale up Patent Citation Networks
6.3 Pitfalls and Best Practices in Using Patent Citation Data
6.4 Summary
References
7 Patent Data Through a Visual Lens
7.1 Unexpected Encounters
7.2 Six Basic Charts
7.2.1 Bar, Line, and Pie Charts
7.2.2 Geospatial Visualizations
7.2.3 Bubble Charts
7.2.4 Treemaps
7.3 Network Visualizations
7.4 Summary
References
8 How to Study Patent Network Analysis
8.1 Research Design
8.2 Choosing Network Analysis Tools
8.3 Four Practical Steps for Patent Network Analysis
8.4 Summary
References
Part III Uncover Corporate Innovation with Patent Analytics
9 Is Innovation Design-or Technology-Driven? Dyson
9.1 Dyson: From Bagless Vacuum Cleaner to Bladeless Hairdryer
9.2 Dyson's Patent Citation Analysis: A Complete Network
9.3 Technology or Design First? Ego Networks of the Bladeless Fan
9.4 Forecasting Dyson's Next Innovation
10 Predict Strategic Pivot Points: Bose
10.1 Bose's New Neat! Innovation Pivots
10.2 Core Innovation: Better Sound
10.3 Four Innovation Pivots: Beyond Sound
10.3.1 Technology Pivot: Suspension Seats for Vehicles
10.3.2 Customer Segment Pivot: High-Tech Cooktops
10.3.3 Platform Pivot: Audio AR Sunglasses
10.3.4 Zoom-In Pivot: Noise-Masking Sleepbuds
10.4 Summary
Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 The Prism of Patent Big Data
1.1.1 The Vs to the Patent Big Data Paradigm
1.1.2 Coping with Patent Big Data Complexity
1.1.3 Harnessing Patent Big Data Analytics to Make a Difference
1.2 Overview of the Book
1.2.1 Part I: Patent as Data
1.2.2 Part II: Network Analytics
1.2.3 Part III: Uncover Corporate Innovation with Patent Analytics
1.2.4 Part IV: Future Developments with AI
References
Part I Patent as Data
2 A Brief History of Patents
2.1 The Prelude of the Patent System
2.2 The First Patent with Claims
2.3 The Great Fire and Patent Numbering
2.4 Genesis of Citations
2.5 Summary
References
3 Understanding Patent Data
3.1 Patents, Designs, and Trademarks
3.2 A Walk Through of Patent Data Fields
3.2.1 INID Codes and Bibliographic Data
3.2.2 Patent Numbering System and Kind-Of-Documents
3.2.3 Patent Classification System
3.2.4 International Patent Classification (INID Code: 51)
3.2.5 Cooperative Patent Classification (INID Code: 52)
3.3 Same Same, but Different Design Patents
3.4 Comprehending Trademark Data
3.5 Summary
References
4 Claims, "Legally, Less is More!"
4.1 Disentangling Patent Claims
4.2 Broad or Narrow: All-Elements Rule
4.3 Anatomy of Patent Claims
4.4 The Butterfly Effect of Design Patents
4.5 Summary
References
Part II Network Analytics
5 Basic Network Concepts
5.1 Why Does Patent Network Analysis Matter?
5.2 Basic Concept of Network and Graph Theory
5.2.1 Node, Edges, and Attributes
5.2.2 Undirected and Directed Network
5.2.3 One-Mode and Two-Mode Networks
5.2.4 Ego Networks and Complete Networks
5.3 Network Metrics
5.3.1 Centrality
5.3.2 Network Diameter and Density
5.3.3 Clustering and Modularity
5.4 Summary
References
6 Patent Citations Analysis
6.1 The Meaning of Patent Citations
6.2 How to Scale up Patent Citation Networks
6.3 Pitfalls and Best Practices in Using Patent Citation Data
6.4 Summary
References
7 Patent Data Through a Visual Lens
7.1 Unexpected Encounters
7.2 Six Basic Charts
7.2.1 Bar, Line, and Pie Charts
7.2.2 Geospatial Visualizations
7.2.3 Bubble Charts
7.2.4 Treemaps
7.3 Network Visualizations
7.4 Summary
References
8 How to Study Patent Network Analysis
8.1 Research Design
8.2 Choosing Network Analysis Tools
8.3 Four Practical Steps for Patent Network Analysis
8.4 Summary
References
Part III Uncover Corporate Innovation with Patent Analytics
9 Is Innovation Design-or Technology-Driven? Dyson
9.1 Dyson: From Bagless Vacuum Cleaner to Bladeless Hairdryer
9.2 Dyson's Patent Citation Analysis: A Complete Network
9.3 Technology or Design First? Ego Networks of the Bladeless Fan
9.4 Forecasting Dyson's Next Innovation
10 Predict Strategic Pivot Points: Bose
10.1 Bose's New Neat! Innovation Pivots
10.2 Core Innovation: Better Sound
10.3 Four Innovation Pivots: Beyond Sound
10.3.1 Technology Pivot: Suspension Seats for Vehicles
10.3.2 Customer Segment Pivot: High-Tech Cooktops
10.3.3 Platform Pivot: Audio AR Sunglasses
10.3.4 Zoom-In Pivot: Noise-Masking Sleepbuds
10.4 Summary