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Collaborative Search and Communities of Interest

Book Description

Since the dawn of the 21st Century the invention of Web 2.0 has enabled people from all backgrounds to contribute content on the Internet. In doing so, the Internet has become more of a social platform, thus establishing a growing need for innovative social software and the organization of collaborative interest communities. Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment provides a comprehensive collection of knowledge from experts within the Information and Knowledge Management field. Outlining various concepts from an application and technical stand point and providing insight on the various dimensions (sociological, psychological, technical, etc.) of social Internet collaboration. This book provides solutions to the detection of interest communities, as well as the study of how tools and knowledge sharing impact the environment where they are used.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. EDITORIAL ADVISORY BOARD
  5. Preface
  6. Chapter 1: Internet, Collaborative Search, and Communities of Interests
    1. CONTEXT
    2. NEW KNOWLEDGE SOURCES
    3. COLLABORATIVE SEARCH
    4. COMMUNITIES OF INTERESTS
    5. PRESENTATION OF THE BOOK
    6. POTENTIAL DANGERS
    7. CONCLUSION
  7. Chapter 2: From Virtual Communities to Project-Driven Mediated Collectives
    1. ABSTRACT
    2. PHENOMENA
    3. CONCEPT
    4. COMMUNITY COMPOSED IDIOMS
    5. MEDIATED COLLECTIVES
    6. PRODUCTION ORIENTED MEDIATED COLLECTIVES
    7. EMPIRICAL GROUNDS
    8. CONCLUSION
  8. Chapter 3: Introduction to Recommender Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. TYPOLOGY OF RECOMMENDER SYSTEMS
    4. CONCLUSION
  9. Chapter 4: Building User Communities of Interests by Using Latent Semantic Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. FOUNDATION OF WEB USAGE MINING AND LATENT SEMANTIC ANALYSIS
    4. MODELING USER COMMUNITIES OF INTERESTS BASED ON LATENT SEMANTIC INDEXING
    5. MODELING USER COMMUNITIES OF INTERESTS USING PROBABILISTIC LATENT SEMANTIC ANALYSIS MODEL
    6. APPLICATIONS OF USER PROFILING: COLLABORATIVE WEB RECOMMENDATION
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
  10. Chapter 5: Collaborative Recommendation Systems and Link Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. RANDOM-WALK BASED ALGORITHMS1
    4. KERNEL-BASED ALGORITHMS2
    5. CONCLUSION
  11. Chapter 6: A Semi-Supervised Algorithm to Manage Communities of Interests
    1. ABSTRACT
    2. INTRODUCTION
    3. THE GALILEI FRAMEWORK
    4. TECHNICAL OVERVIEW
    5. THE GROUPING PROBLEMS
    6. THE SIMILARITY-BASED CLUSTERING GENETIC ALGORITHM (SCGA)
    7. VALIDATION METHODOLOGY
    8. RESULTS
    9. FUTURE RESEARCH DIRECTIONS
    10. CASE STUDY: DETECTING COMMUNITIES OF RESEARCHERS
    11. CONCLUSION
  12. Chapter 7: P2P Semantic Coordination for Collective Knowledge Organization
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. COLLECTIVE KNOWLEDGE COORDINATION IN P2P SYSTEMS
    5. HANDSHAKING LIGHTWEIGHT SEMANTIC COMMUNITIES
    6. HARVESTING COLLECTIVE KNOWLEDGE
    7. COORDINATING PEER VIEWED COLLECTIVE KNOWLEDGE
    8. FUTURE RESEARCH DIRECTIONS
    9. CONCLUSION
  13. Chapter 8: Collective Information Filtering for Web Observatories
    1. ABSTRACT
    2. INTRODUCTION
    3. COLLECTIVE INFORMATION FILTERING
    4. NOOTROPIA
    5. REQUIREMENTS AND ARCHITECTURE FOR A COLLECTIVE WEB OBSERVATORY
    6. DESIGN AND IMPLEMENTATION
    7. CASE STUDIES
    8. CONCLUSION AND FUTURE WEB OBSERVATORIES
  14. Chapter 9: Managing Brief Data from Users to Professionals
    1. ABSTRACT
    2. INTRODUCTION
    3. TWITTER AS CREATOR OF COMMUNITIES OF INTERESTS
    4. BACKGROUND
    5. MICROBLOGGING AS A JOURNALISTIC PARADIGM
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  15. Chapter 10: Articulating Tacit Knowledge in Multinational E-Collaboration on New Product Designs
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. KNOWLEDGE ARTICULATION MODEL
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  16. Chapter 11: Applications of a Social Software Model
    1. ABSTRACT
    2. INTRODUCTION
    3. THE SOCIAL SOFTWARE FUNCTIONALITY MODEL
    4. APPLYING SOCIAL SOFTWARE TO KNOWLEDGE SHARING
    5. APPLYING SOCIAL SOFTWARE TO FOSTER SOCIAL INCLUSION BY OVERCOMING NEIGHBORHOOD EFFECTS
    6. CONCLUSION
  17. Chapter 12: People Company
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK ON COLLABORATION SUPPORT
    4. BATON APPLICATION
    5. AUTOGRAPH BOOK AS A COMMUNITY SITE
    6. CONCLUSION
  18. About the Contributors