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Webinar Details: October 17, 2017, 11:00 am - 12:00 pm EST.
Attendee Registration Link: https://ieee.webex.com/ieee/onstage/g.php?MTID=e2212cf750ec4f4f49cbd6c78...
Stay tuned for announcements on “Digital Signaling: Interacting Social Sensors and Social Networks” presented by Prof. Vikram Krishnamurthy. In this webinar, Prof. Krishnamurthy will discuss how humans interact over a social network and make decisions based on sensor information. Humans can be viewed as social sensors who input information to a social network. First, the interaction of social sensors in a social network presents unique challenges from a statistical signal processing viewpoint: sensors interact with and influence other social sensors resulting in a herding behavior. Second, because of privacy concerns, social sensors reveal quantized decisions (e.g., ratings and recommendations). Third, social sensors are risk-averse decision makers.
This discussion will describe the following: mathematical models for how social sensors interact over a social network, how social sensor decision-making can result in herding behavior, and how herding can be mitigated by providing incentives to individual sensors. Also experimental data on human interaction will be discussed to motivate the models and algorithms presented. This webinar draws ideas from the signal processing, micro-economics, and behavioral economics areas."
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