Community Structure Analysis from Social Networks
eBook - ePub

Community Structure Analysis from Social Networks

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Community Structure Analysis from Social Networks

About this book

This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.

  • Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networks
  • Highlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challenges
  • Spans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networks
  • Explores methodologies for evaluating the quality and accuracy of community detection models
  • Examines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networks

The book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data.

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Yes, you can access Community Structure Analysis from Social Networks by Sajid Yousuf Bhat,Fouzia Jan,Muhammad Abulaish in PDF and/or ePUB format, as well as other popular books in Business & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. Section I Understanding and Analyzing Social Networks: Types, Dataset Analysis and Challenges
  10. Section II Exploration of Community Detection in Social Networks
  11. Section III Applications of Community Detection: From Biology to Social Challenges
  12. Index