The challenges of network data display are among the most longstanding in visualization. Current approaches typically rely on some form of network abstraction to reduce network density, or “clutter”, to reveal structural elements salient for the task at hand. Any reduction of complexity must consider the competing goals of providing visual representations that reveal overall, global relations, ...

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries and its content. Some preliminary resu...

In what follows, we introduce the notion of representational information (information conveyed by sets of dimensionally defined objects about their superset of origin) as well as an original deterministic mathematical framework for its analysis and measurement. The framework, based in part on categorical invariance theory [30], unifies three key constructs of universal science – invariance, com...

Poplack (1993: 255) defines code-switching as the juxtaposition of multi-word sequences, each of which is internally consistent with the grammatical patterns of its respective language. Thus, in code-switching, the patterns of each language are maintained, as bilinguals switch between— not ‘mix’—their two languages (cf. Haugen 1950). Some, however, have claimed that codeswitching can have an ef...

A number of recent studies have used Meehl's (1995) taxometric method to determine empirically whether one should model assessment-related constructs as categories or dimensions. The taxometric method includes multiple data-analytic procedures designed to check the consistency of results. The goal is to differentiate between strong evidence of categorical structure, strong evidence of dimension...

Organizational agility has recently received a great deal of attention as it is seen as a significant business capability which allows firms to respond flexibly to today’s rapidly changing business environment. In particular, this capability deems essential under a fast growing economy, such as China. However, it is still unclear as to how and why specific information technology (IT) investment...

Estimation of causal effects of time-varying exposures using longitudinal data is a common problem in epidemiology. When there are time-varying confounders, which may include past outcomes, affected by prior exposure, standard regression methods can lead to bias. Methods such as inverse probability weighted estimation of marginal structural models have been developed to address this problem. Ho...

This article examines the relationship between extent of business intelligence and analytics (BI&A) implementation and business performance. Also, it analyzes the moderating role of technology in this relationship. The data for our model is collected from secondary data sources for 116 public companies in United States. The data is analyzed using structural equation modeling techniques. Our fin...

Loyal users are vital to the future of B2B platform with rapid development and intensive competitions. This study examines how network externality, in terms of direct network externality and indirect network externality, enhances B2B platform users' perceived value, and how such perception of value, in turn, influences their satisfaction and loyalty. First, we develop a conceptual model to desc...