IEEE Dayton Section

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Dayton AESS Meeting

June 28 @ 12:30 pm - 1:30 pm

This talk discusses how humans interact over a social network and make decisions based on sensor information. Humans can be viewed as social sensors that input information to a social network. The interaction of social sensors present several challenges from a statistical signal processing viewpoint: sensors interact with and influence other social sensors resulting in herding behaviour. Second, due to privacy concerns, social sensors reveal quantized decisions (ratings, recommendations). Third, social sensors are risk averse decision makers with anticipatory emotions. This talk describes mathematical models for how social sensors interact over a social network, how social sensor decision-making can result in herding behaviour, and how herding can be mitigated by providing incentives to individual sensors. We will also discuss novel methods to poll social networks based on expectation polling and the friendship paradox. The seminar draws from ideas in statistical signal processing and behavioral economics.

Speaker(s): Professor Vikram Krishnamurthy, Cornell University,

Room: 101
Bldg: Neuroscience Engineering Collaboration Building
Wright State University
3640 Colonel Glenn Highway
Fairborn, Ohio


June 28
12:30 pm - 1:30 pm