time, we show that we can generate more accurate rankings than with a single, generic PageRank vector. For ordinary keyword search queries, we compute the topic-sensitive PageRank scores for pages satisfying the query using the topic of the query keywords. For searches done in context (e.g., when

sensitive topics, for which impression management may distort self-report responses. For 32 samples with criterion measures involving Black–White interracial behavior, predictive validity of IAT measures significantly exceeded that of self-report measures. Both IAT and self-report measures displayed

This paper summarizes the empirical and theoretical research on executive compensation and provides a comprehensive and up-to-date description of pay practices (and trends in pay practices) for chief executive officers (CEOs). Topics discussed include the level and structure of CEO pay (including

Investigating time-sensitive topic model approaches for action recognition

In this paper, we postulate that temporal information is important for action recognition in videos. Keeping temporal information, videos are represented as word×time documents. We propose to use timesensitive probabilistic topic models and we extend them for the context of supervised learning. Our

This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without requiring the latter to give permission first. In a dataset prepared for this study, it is observed that (1) 72.4 % of the users in Twitter follow more than 80 % of their followers, and (2) 80.5 % of the users have 80 % of users they are following follow them back. Our study reveals that the presence of “reciprocity” can be explained by phenomenon of homophily [14]. Based on this finding, TwitterRank, an extension of PageRank algorithm, is proposed to measure the influence of users in Twitter. TwitterRank measures the influence taking

In a document network such as a citation network of scientific documents, web-logs, etc., the content produced by authors exhibits their interest in certain topics. In addition some authors influence other authors ’ interests. In this work, we propose to model the influence of cited authors along

A two-stage cluster sampling was designed to select males who have sex with males (MSM) in Beijing. Quantitative additive randomized response technique (RRT) model was presented to asking questions on sensitive topics in population survey. Monte Carlo simulations were used to evaluate validity

of the query keywords. For searches done in context (e.g., when the search query is performed by highlighting words in a Web page), we compute the topic-sensitive PageRank scores using the topic of the context in which the query appeared. By using linear combinations of these (precomputed) biased Page

The aim of this article is, through two case studies, to demonstrate that focus group interviews constitute a particularly useful method with which to examine topics which may seem sensitive to the informants. The central point of the article is that focus group interviews can help to establish a