Principles and Patterns of Social Knowledge Applications.
Legal Babble
Not Your Cup of Tea?
Foreword or How I Learned to Stop Worrying and Love Wikipedia
Overview
Rectifying the Names
Why “Knowledge”?
Why are Social Knowledge Applications Important?
On Methodology
Principles and Patterns
Structure of the Work
Wikipedia
Wikipedia = Wiki + Encyclopedia
Is Wikipedia A Real Encyclopedia?
Birth and Growth of Wikipedia
Maximising The Value of Wikipedia
Coordination
Direct and Indirect Communication
Authority Models for Collaborative Authoring
Allocation
Knowledge Collection
Knowledge Integration
Patterns
Bootstrapping
Seeding
Backward Compatibility
Commensurate Cost
The Shadow of the Future
Pledge Banks
Valorisation
Addressability
End-to-End Intelligence
Coordination
Stigmergy
Tailgating
Benevolent Dictatorship
Allocation
Centralised Allocation
Market Allocation
Allocation in Social Knowledge Applications
The Principle of Subsidiarity
Self Allocation
Prosumer
Knowledge Generation and Collection
Out of Mediocrity Excellence
Converting Latent to Formalised Knowledge
Modularisation
Knowledge Integration
Continuous Integration
Redundancy
Using Redundancy To Achieve Reliability
Information Markets
Efficiency of Information Markets
Contract Types and Applications
Large-Scale Aggregation
Principles of Network Utility
Intrinsic and Extrinsic Utility
Extrinsic Utility and Consumption
Extrinsic Utility of Communication Networks
Extrinsic Utility of Broadcasting Networks
Optimal Dimension of Broadcasting Networks
Extrinsic Utility of Many to Many Networks
Extrinsic Utility of Group-Forming Networks
Some Implications of the Principles of Network Utility
Networks Have a Bootstrapping Problem
One Function One Network
Networks Tend to Interconnect and Merge
The Winner Takes All
Network Evolution is Path Dependent
Network Evolution is Surprising
The Production of Network Goods Can Be Inefficient
To Maximise Social Welfare Networks Need To Be Based on Open Standards
Principles of Evolution of Network Topology
Power-Law Distributions and Preferential Attachment in Networks
Limits of the Preferential Attachment Model
Implications of the Power-Law Distribution
Scalability in Content Production and Distribution: from Broadcasting and Grassroots to Hub-and-Spoke Networks
Networks Evolve from Content-Driven to Interaction-Driven to Recombination-Driven
Bibliography