This paper describes an extensive analysis of the comfort level data of 7 subjects with respect to 12 robot behaviours as part of a human-robot interaction trial. This includes ro...
Kheng Lee Koay, Kerstin Dautenhahn, Sarah Woods, M...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
— Autism covers a large spectrum of disorders that affect the individual’s way of interacting socially and is often revealed by the individual’s lack of interest in gazing at...
Lorenzo Piccardi, Basilio Noris, Olivier Barbey, A...
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...