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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Springer London : Imprint: Springer,
2012.
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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.