ABSTRACT
In every single moment, a tremendous amount of social data is generated within the online social networks. Knowledge production from such an ever-increasing amount of data is a distinctive capability to complement traditional knowledge discovery for many organizations. These data have the potential to help organizations improve their processes and uncover insights into various novel applications [74, 659]. This chapter focuses on such applications of social data analytics and provides an overview of this research discipline. The chapter offers discussions on a range of relevant topics, e.g., social data and trust, understanding bias in social data, personality detection from social data, personalization with social data, improving sales and marketing, influence maximization, situational awareness, predicting topic trends, linking social media performance to business/revenue growth, and performance analysis of the industry.
