The growing complexity of the business environment has increased the risk associated with decision making. The objective of business intelligence is to provide better information to assist managers in the decision making processes. Organizations are increasingly practicing data mining to extract meaningful knowledge from volumes of data. The explosive growth of social networking sites in the Web 2.0 has led to extensive amounts of information which can serve, for example, to improve strategies for customer relationship management. A prerequisite for the extraction of reliable information is the availability of powerful analysis methods. This book discusses data mining techniques to extract community structures in large social networks and to analyze their temporal dynamics. Besides a descriptive analysis, the extracted information from the data analysis represents the foundation for the prediction of behavior patterns and future trends.