Computational Social Networks Mining and Visualization /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Abraham, Ajith (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2012.
• Subjects: Computer science.; Computer communication systems.; Database management.; User interfaces (Computer systems).; Computers and civilization.; Computer Science.; Computer Communication Networks.; Database Management.; User Interfaces and Human Computer Interaction.; Computers and Society.

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...

Table of Contents:

• 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.