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Social Media Mining and Social Network Analysis

Book Description

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

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
    1. BACKGROUND
    2. SUMMARY OF CHAPTERS
    3. AUDIENCE OF THIS BOOK
  7. Chapter 1: Extracting Sentiment Patterns from Syntactic Graphs
    1. ABSTRACT
    2. INTRODUCTION
    3. SENTIMENT ANALYSIS AND OPINION MINING
    4. RELATED WORK
    5. OUR METHOD
    6. EXPERIMENTS AND RESULTS
    7. CONCLUSION
  8. Chapter 2: Mobile Context Data Mining
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MINING LOCATION AND TRAJECTORY DATA
    4. 3. MINING ACCELEROMETER DATA
    5. 4. MINING PERSONALIZED BEHAVIOR PATTERN
    6. 5. MINING SIGNIFICANT PERSONALIZED CONTEXTS
    7. 6. CONCLUSION
  9. Chapter 3: Clustering Algorithms for Tags
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. CONCLUSION
  10. Chapter 4: Grouping the Similar among the Disconnected Bloggers
    1. ABSTRACT
    2. 1. SOCIAL MEDIA: AN EMERGING PLATFORM FOR COMMUNICATION, INTERACTION, AND EXPRESSION
    3. 2. BACKGROUND AND RELATED WORK
    4. 3. PROPOSED MODEL AND METHODOLOGIES
    5. 4. ANALYSIS OF THE PROPOSED MODEL AND METHODOLOGIES
  11. Chapter 5: Topic Modeling for Web Community Discovery
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. NON-BAYESIAN APPROACHES TO WEB COMMUNITY DISCOVERY
    5. BAYESIAN APPROACHES TO WEB COMMUNITY DISCOVERY
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  12. Chapter 6: Analyzing Social Networks to Mine Important Friends
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. OUR SOCIAL NETWORK MINING SYSTEM
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  13. Chapter 7: News Document Summarization Driven by User-Generated Content
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. THE NeDocs SYSTEM
    5. EXPERIMENTAL EVALUATION
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  14. Chapter 8: Method for Modeling User Semantics and its Application to Service Navigation on the Web
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FUTURE RESEARCH DIRECTIONS
    5. CONCLUSION
  15. Chapter 9: Tag Cloud Reorganization
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. TAG CLOUD REORGANIZATION
    5. CONCLUSION
  16. Chapter 10: Global Community Extraction in Social Network Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DIVISIVE ALGORITHMS
    5. MODULARITY-BASED ALGORITHMS
    6. DENSE SUB-GRAPH DISCOVERY
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
  17. Chapter 11: Local Community Extraction in Social Network Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DEFINITION OF LOCALITY
    5. FITNESS FUNCTIONS
    6. ALGORITHMS OF LOCAL COMMUNITY EXTRACTION
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
  18. Chapter 12: Supporting Social Interaction in Campus-Scale Environments by Embracing Mobile Social Networking
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. SYSTEM REQUIREMENTS
    5. SYSTEM ARCHITECTURE
    6. APPLICATIONS
    7. EXPERIMENTAL RESULTS
    8. CONCLUSION AND FUTURE WORK
  19. Chapter 13: Recommending Related Microblogs
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. TERM-BASED APPROACH
    5. WORDNET-BASED APPROACH
    6. TOPIC-BASED APPROACH
    7. WORDNET AND TOPIC COMBINED APPROACH
    8. DATASET AND EVALUATION METHODOLOGY
    9. EXPERIMENTAL RESULTS
    10. CONCLUSION
  20. Chapter 14: On Group Extraction and Fusion for Tag-Based Social Recommendation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PRELIMINARIES
    4. 3. GROUP EXTRACTION AND FUSION STRATEGY ON SOCIAL RECOMMENDER SYSTEM
    5. 4. EXPERIMENTAL EVALUATIONS
    6. 5. RELATED WORK
    7. 6. CONCLUSION AND FUTURE WORK
  21. Compilation of References
  22. About the Contributors