Yaniv Dover

TL;DR: This article examined the differences in reviews for a given hotel between two sites: Expedia.com (only a customer can post a review) and TripAdvisor (anyone can post) and showed that the net gains from promotional reviewing are highest for independent hotels with single-unit owners and lowest for branded chain hotels with multiunit owners.

TL;DR: In this article, the authors examine hotel reviews, exploiting the organizational differences between two travel websites: Expedia.com and Tripadvisor.com, and show that hotels with a high incentive to fake have a greater share of five-star (positive) reviews on TripAdvisor relative to Expedia, and that the hotel neighbors of hotels with high incentives to fake had more one and two star (negative) reviews compared to the non-faking hotels.

TL;DR: This paper proposes and empirically validate a unified network-based growth model that links network structure and penetration patterns, and confirms that each network degree distribution identified by the model matches the actual social network that is underlying the dissemination process.

TL;DR: In this article, the authors report clear crystallite size dependencies of the transport and phototransport properties in solid-state ensembles of semiconductor quantum dots and show that the above dependencies are associated with the quantum confined induced variation of the band gap in the individual dots.