The analysis process to predict human behavior from communication logs through machine learning, NLP, and social network analysis follows four steps. This chapter outlines how to use these techniques for predicting human behavior by analyzing archives of traces of human-to-human and human-to-other-living-creatures interaction such as email or GPS sensor data. The aim is to find general patterns of human behavior indicative of future actions. Learning about these patterns, and then analyzing past behavior and comparing it with desirable behavior - "the best against the rest" - will change future behavior towards better performance and happiness.
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Front Matter
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Part I: Principles of groupflow
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Part II: Measuring groupflow
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Back Matter
