-
作者：Johnson, Steven L.; Faraj, Samer; Kudaravalli, Srinivas
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; McGill University; Hautes Etudes Commerciales (HEC) Paris
摘要：Online communities bring together individuals with shared interest in joint action or sustained interaction. Power law distributions of user popularity appear ubiquitous in online communities but their formation mechanisms are not well understood. This study tests for the emergence of power law distributions via the mechanisms of preferential attachment, least efforts, direct reciprocity, and indirect reciprocity. Preferential attachment, where new entrants favor connections with already popul...
-
作者：Goes, Paulo B.
作者单位：University of Arizona
-
作者：Butler, Brian S.; Bateman, Patrick J.; Gray, Peter H.; Diamant, E. Ilana
作者单位：University System of Maryland; University of Maryland College Park; University System of Ohio; Youngstown State University; University of Virginia; University of Washington; University of Washington Seattle
摘要：Online discussion communities play an important role in the development of relationships and the transfer of knowledge within and across organizations. Their underlying technologies enhance these processes by providing infrastructures through which group-based communication can occur. Community administrators often make decisions about technologies with the goal of enhancing the user experience, but the impact of such decisions on how a community develops must also be considered. To shed light...
-
作者：Jabr, Wael; Zheng, Zhiqiang (Eric)
作者单位：University System of Georgia; Georgia State University; University of Texas System; University of Texas Dallas
摘要：Reviews and product recommendations at online stores enable customers to readily evaluate alternative products prior to purchase. In this context, firms generate recommendations referring customers to a wider variety of products. They also display customer-generated online reviews in order to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-a-vis competing products. We use a dataset we collected from Amazon.com...
-
作者：Li, Xiao-Bai; Sarkar, Sumit
作者单位：University of Massachusetts System; University of Massachusetts Lowell; University of Texas System; University of Texas Dallas
摘要：Regression techniques can be used not only for legitimate data analysis, but also to infer private information about individuals. In this paper, we demonstrate that regression trees, a popular data-analysis and data-mining technique, can be used to effectively reveal individuals' sensitive data. This problem, which we call a regression attack, has not been addressed in the data privacy literature, and existing privacy-preserving techniques are not appropriate in coping with this problem. We pr...
