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Social Network Mining, Analysis and Research Trends

Book Description

Social network analysis dates back to the early 20th century, with initial studies focusing on small group behavior from a sociological perspective. The emergence of the Internet and subsequent increase in the use of online social networking applications has caused a shift in the approach to this field. Faced with complex, large datasets, researchers need new methods and tools for collecting, processing, and mining social network data. Social Network Mining, Analysis and Research Trends: Techniques and Applications covers current research trends in the area of social networks analysis and mining. Containing research from experts in the social network analysis and mining communities, as well as practitioners from social science, business, and computer science, this book proposes new measures, methods, and techniques in social networks analysis and also presents applications and case studies in this changing field.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Foreword
  6. Preface
  7. Section 1: Introduction and Surveys of Social Networks Mining and Analysis
    1. Chapter 1: Social Multimedia Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. SOCIAL MULTIMEDIA MINING
      4. THE THREE TYPES OF SOCIAL MULTIMEDIA MINING
      5. SOCIAL MULTIMEDIA MINING IN RESEARCH AREAS OF COMMUNICATION STUDIES
      6. CONCLUSION
    2. Chapter 2: A Study of Homophily on Social Media
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. DATA COLLECTION
      5. ANALYZING DYADIC RELATIONS
      6. ANALYZING COMMUNITY STRUCTURES
      7. RANDOM REWIRED ANALYSIS
      8. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    3. Chapter 3: Sociocognitive Inquiry
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PERSONAL CONSTRUCT PSYCHOLOGY
      5. CONCEPTUAL GRIDS
      6. WEBGRID IN ACTION
      7. PAYBACKS TO INDIVIDUALS AND THE COMMUNITY
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
    4. Chapter 4: Community Discovery
      1. ABSTRACT
      2. COMMUNITY DISCOVERY: FROM WEB PAGES TO SOCIAL NETWORKS
      3. CONCLUSION
  8. Section 2: Measures, Methods and Techniques in Social Networks Mining and Analysis
    1. Chapter 5: Large Scale Graph Mining with MapReduce
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PROPOSED METHOD
      5. IMPLEMENTATION DETAILS
      6. AN EXAMPLE OF HADI
      7. HADI AT WORK: EXPERIMENTAL RESULTS
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
    2. Chapter 6: Social Network Inspired Approach to Intelligent Monitoring of Intelligence Data
      1. ABSTRACT
      2. INTRODUCTION
      3. SOCIAL NETWORK INSPIRED APPROACH TO FALSE IDENTITY DETECTION
      4. ABSOLUTE ORDER-OF-MAGNITUDE (AOM) REASONING
      5. ORDER-OF-MAGNITUDE BASED LINK ANALYSIS
      6. SEMI-SUPERVISED METHOD TO DESIGNING LANDMARKS
      7. PERFORMANCE EVALUATION
      8. CONCLUSION
    3. Chapter 7: Detecting Pharmaceutical Spam in Microblog Messages
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUNDAMENTAL PROCESS AND TOOLS
      5. EXPERIMENTAL RESULTS
      6. CONCLUSION
    4. Chapter 8: Exploiting Social Annotations for Resource Classification
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    5. Chapter 9: Social Network Construction in the Information Age
      1. ABSTRACT
      2. INTRODUCTION
      3. MANUAL SOCIAL NETWORK DATA COLLECTION
      4. ELECTRONIC DATA COLLECTION
      5. COMPARING ELECTRONIC AND MANUAL DATA COLLECTION
      6. UNDERSTANDING NETWORKS
      7. ELECTRONIC SOCIAL NETWORK CONSTRUCTION
      8. CONCLUSION
    6. Chapter 10: Dynamics and Evolutional Patterns of Social Networks
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA COLLECTION FOR DYNAMIC NETWORKS
      4. REAL-WORLD APPLICATIONS OF DYNAMIC NETWORK MINING
      5. THEORIES AND MODELS OF DYNAMIC NETWORKS
      6. CONCLUSION
    7. Chapter 11: Modeling Customer Behavior with Analytical Profiles
      1. ABSTRACT
      2. INTRODUCTION
      3. CUSTOMER PROFILING
      4. CRITICAL EXAMPLES
      5. MARKET OF ANALYTICAL PROFILES
      6. CONCLUSION
    8. Chapter 12: Social Search and Personalization Through Demographic Filtering
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MODELING SOCIAL GROUPS
      5. SYSTEM ARCHITECTURE
      6. DETERMINING THE PREFERENCES OF ESDs
      7. ANSWERING QUERIES
      8. EXPERIMENTAL RESULTS
      9. CONCLUSION
  9. Section 3: Applications and Case Studies in Social Networks Mining and Analysis
    1. Chapter 13: Mining Organizations’ Networks
      1. ABSTRACT
      2. OVERVIEW
      3. CONCLUSION
    2. Chapter 14: Universal Dynamics on Complex Networks, Really?
      1. ABSTRACT
      2. INTRODUCTION
      3. UNIVERSAL STRUCTURAL PROPERTIES IN REAL WORLD NETWORKS
      4. UNIVERSAL DYNAMICS AND BEYOND
      5. REAL-WORLD COMPLEX NETWORKS HAVE DISTINCTIVE SIGNATURES AND POWER STRUCTURES ….. THAT CHANGE
      6. CONCLUSION
    3. Chapter 15: A Social Network Model for Understanding Technology Use for Knowledge-Intensive Workers
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCEPTUAL FOUNDATIONS
      4. METHODOLOGY AND CONTEXT OF STUDY
      5. RESULTS
      6. DISCUSSION AND CONCLUSION
    4. Chapter 16: Social Recommendations
      1. ABSTRACT
      2. INTRODUCTION
      3. COLLABORATIVE FILTERING
      4. OPINION POLLS AND SAMPLING
      5. MENTORS AND LEADERS
      6. EVALUATION PROTOCOL
      7. EXPERIMENTS
      8. CONCLUSION AND DISCUSSION
    5. Chapter 17: Capturing Market Mavens among Advergamers
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODOLOGY
      5. FINITE MIXTURE MODEL
      6. RESULTS
      7. LIMITATIONS
      8. DISCUSSION
    6. Chapter 18: Semantic-Awareness for a Useful Digital Life
      1. ABSTRACT
      2. INTRODUCTION
      3. THE SOCIAL WEB ECOSYSTEM
      4. DYNAMIC USER INTERACTION PROFILES
      5. OBJECT-CENTERED SOCIAL NETWORKS
      6. CONCLUSION
    7. Chapter 19: The Comparability of Event-Related and General Social Support
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA AND METHODS
      4. RESULTS
      5. DISCUSSION
      6. APPENDIX 1
      7. APPENDIX 2
      8. APPENDIX 3
      9. APPENDIX 4
  10. Compilation of References
  11. About the Contributors