BiblioViz: A System for Visualization Bibliography Information

Proc. Of the Asia Pacific Symposium on Information Visualization (APVIS 06), 2006
BiblioViz: A System for Visualization Bibliography Information
Zeqian Shen, Michael Ogawa, Soon Tee Teoh, Kwan-Liu Ma, Zeqian Shen, Michael Ogawa, Soon Tee Teoh, Kwan-Liu Ma

The InfoVis 2004 contest led to the development of several bibliography visualization systems. Even though each of these systems o#ers some unique views of the bibliography data, there is no single best system o#ering all the desired views. We have thus studied how to consolidate the desirable functionalities of these systems into a cohesive design.

We have also designed a few novel visualization methods. This paper presents our findings and creation: BiblioViz, a bibliography visualization system that gives the maximum number of views of the data using a minimum number of visualization constructs in a unified fashion.

Another publication from the same category: Economics

Proceedings of the Sixteenth ACM Conference on Economics and Computation (EC '15). ACM, New York, NY, USA (2015)

Canary in the e-Commerce Coal Mine: Detecting and Predicting Poor Experiences Using Buyer-to-Seller Messages

Dimitriy Masterov, Uwe Mayer, Steve Tadelis

Reputation and feedback systems in online marketplaces are often biased, making it difficult to ascertain the quality of sellers. We use post-transaction, buyer-to-seller message traffic to detect signals of unsatisfactory transactions on eBay. We posit that a message sent after the item was paid for serves as a reliable indicator that the buyer may be unhappy with that purchase, particularly when the message included words associated with a negative experience. The fraction of a seller's message traffic that was negative predicts whether a buyer who transacts with this seller will stop purchasing on eBay, implying that platforms can use these messages as an additional signal of seller quality.