Predicting linkages among data objects is a fundamental task for applications in various domains. In many contexts link prediction is entirely based on the linkage information itself. Link-structure based link prediction is closely related to a parallel and almost separate stream of research on...

This paper focuses on the application of multi-dimensional Cartesian spaces in the graphical visualization of Gross Domestic Product (GDP) historical trend of any country. The main objective to use multi-dimensional Cartesian spaces is to observe all possible changes of all variables...

The rationale of Econographicology revolves around the efficacy of multi-dimensional (MD) graphs in the storage of meta-database and the visualization of multi-variable data behavior based on the application of Cartesian spaces (or MD Cartesian coordinate system). It is supported by three areas...

Decision makers in the field of national security, counterterrorism and counterinsurgency are faced with an uncertain, adaptive and asymmetrical threat. It should come as no surprise that a great need exists to understand covert organizations, the structure of which becomes known partially only...

Component commonality - the use of the same version of a component across multiple products - is being increasingly considered as a promising way to offer high external variety while retaining low internal variety in operations. However, increasing commonality has both positive and negative cost...

We define an economic network as a linked set of entities, where links are created by actual realizations of shared economic outcomes between entities. Such aggregations, which include a wide variety of Web-based product networks, are becoming increasingly available for business use. We analyze...