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Computational Social Networks Mining and Visualization /

The study of computational social networks (CSNs) is an emerging interdisciplinary field, concerned with the intersection of social behavior and computer systems. Due to the dynamic and ever-evolving nature of social networks, it can be difficult to comprehend the connections and influence between u...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Abraham, Ajith (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I: Mining
  • Social Networks Analysis
  • Performance Evaluation of Social Network Using Data Mining Techniques
  • Bio-Inspired Clustering and Data Diffusion in Machine Social Networks
  • Mining Geo-Referenced Community-Contributed Multimedia Data
  • Correlation Mining for Web News Retrieval
  • Mining Micro-Blogs
  • Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks
  • Reliable Online Social Network Data Collection
  • Knowledge Mining from the Twitter Social Network
  • Part II: Visualization
  • Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach
  • Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments
  • Extraction and Analysis of Facebook Friendship Relations
  • Analysis of Human-Computer Interactions and Online Social Networking
  • Implementation of Social Network Analysis for Web Cache Content Mining Visualization.