Social Sensing

Increasingly, human beings are sensors engaging directly with the mobile Internet.

Individuals can now share real-time experiences at an unprecedented scale.

Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources.

The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals.

The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy.

The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion.