Clustering Techniques to Analyses in Density Based Social Networks

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Provided by: International Journal of Computer Engineering & Applications
Topic: Data Management
Format: PDF
The web has become an unprecedented world-wide repository of knowledge. It contains valuable information for managers, analysts, and all types of knowledge workers; yet, the web is dynamic and noisy. Hence, knowledge discovery from the web, while being challenging, is an essential tool for the knowledge economy. Social networks have attracted much attention recently. Social network analysis finds its application in many current business areas. Different studies have been conducted to automatically extract social networks among various kinds of entities from the web. Community detection is one of the most important and interesting research areas in social network analysis.
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