Using the fact that connections between vertices of a network often represent directed and weighted flows, we apply hydraulic principles to develop novel insights into network structure and growth. We develop a network model based on Bernoulli's principle and use it to analyze changes in network...

We study information packet routing processes on scale-free networks by mimicking the Internet traffic delivery strategies. We incorporate both the global network structure information and local queuing information in the dynamic processes. We propose several new routing strategies to guide the...

In this paper, we present a new extreme learning machine network structure on the basis of tolerance rough set. The purpose of this paper is to realize the high-efficiency and multi-dimensional ELM network structure. Various published algorithms have been applied to breast cancer datasets, but...

Currently, the challenge for researchers and managers in the area of knowledge management is to study methods and models that promote and facilitate the acquisition, retention, distribution and utilization of knowledge by individuals and groups of organizations. The main objective of this paper...

This study examines the relationship between social capital that arises from individual relations and individual innovativeness. Social capital is considered a multidimensional construct and individual innovativeness is measured through six different indicators of scientific production....