It is very helpful for a user to get a moderate amount of information highly related to his/her immediate context (e.g., location, time, discussion topics) during the exploration of digital object collections (e.g., articles, web pages, blogs). For instance, in investigating a research topic, a researcher may be very interested in finding articles that are most related to the articles he/she al...

This research presents an analytical model that aims to pinpoint influential posts across a social web comprised of a corpus of posts. The model employs the Latent Dirichlet Allocation algorithm to associate posts with topics, and the TF-IDF metric to identify the key posts associated with each topic. The model was demonstrated in the domain of customer relationship by enabling careful monitori...

Purpose: Housekeeping is an important hotel process from the point-of-view of number work hours it takes and its impact on customer satisfaction. However, few previous scientific studies have addressed this topic or variables that are determinants time required to clean a room.Design/methodology/approach: A stopwatch Time Study has been performed in 4-star-hotel. Additionally, data several coul...

While several statistical methods are available to analyse model sensitivity, their application to complex process-based models is often impractical due to the large number of simulation runs required. A Bayesian approach to global sensitivity analysis can greatly reduce the number of simulation runs required by building an emulator of the model which is less computationally demanding. A Gaussi...

As the discipline of Translation and Interpreting Studies (TIS) has continued to expand rapidly over the past twenty years, scientometric research has been increasingly applied to analyze its trends and patterns. Drawing inspiration from Social Network Analysis, this study aims to quantify academic research impact and identify patterns of influence at an institutional and regional level in Chin...

Social network analysis has been one of the most influential scientific revolutions of the past century. Its success has been due, in part, to its methodological sophistication and the emphasis it places on identifying and clearly depicting features of social structure. As such, social network analysis is often viewed in stark contrast to the structuralist paradigm that dominated the social sci...

In this paper we discuss the problem of testing equality and inequality constraints in symmetrical linear regression models. This class of models includes all symmetric continuous distributions, such as normal, Student-t, Pearson VII, power exponential and logistic, among others. It is commonly used for the analysis of data containing influential or outlying observations with responses supposed...