In this paper, we study Wasserstein-Divergence transportation inequalities which are the generalization of classical transportation inequalities. We present sufficient and necessary conditions for them separately, which coincide in the limit case. Using this kind of inequalities, we establish...

In this paper, we study the quadratic transportation and divergence inequality, which is the generalization of Talagrand’s transportation inequality. We obtain its tensorization property, prove it is implied by Poincaré inequality, and give a criterion for it.

The operations management literature has recently begun to analyze how novel data sources help practitioners better understand product demand. We extend this stream of research by analyzing how air quality, a prominent environmental factor that has received little attention in prior studies, can...

This research proposes that after an experience of being excluded, consumers may strategically choose products to differentiate themselves from the majority of others as a result of their appraisal of the exclusion situation. Experiments 1 and 2 show that when excluded individuals perceive that...

Author co-citation analysis (ACA) has long been used as an effective method for identifying the intellectual structure of a research domain, but it relies on simple co-citation counting, which does not take the citation content into consideration. The present study proposes a new method for...

Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to...

We use a trading metaphor to study knowledge transfer in the sciences as well as the social sciences. The metaphor comprises four dimensions: (a) Discipline Self-dependence, (b) Knowledge Exports/Imports, (c) Scientific Trading Dynamics, and (d) Scientific Trading Impact. This framework is...

The detection of communities in large social networks is receiving increasing attention in a variety of research areas. Most existing community detection approaches focus on the topology of social connections (e.g., coauthor, citation, and social conversation) without considering their topic and...