Ranking in evolving complex networks

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Multiplex PageRank

Many complex systems can be described as multiplex networks in which the same nodes can interact with one another in different layers, thus forming a set of interacting and co-evolving networks. Examples of such multiplex systems are social networks where people are involved in different types of relationships and interact through various forms of communication media. The ranking of nodes in mu...

The Evolving Role of Physicians - Don’t Forget the Generalist Primary Care Providers; Comment on “Non-physician Clinicians in Sub-Saharan Africa and the Evolving Role of Physicians”

The editorial “Non-physician Clinicians in Sub-Saharan Africa and the Evolving Role of Physicians” by Eyal et al describes non-physician clinicians’ (NPC) need for mentorship and support from physicians. We emphasise the same need of support for front line generalist primary healthcare providers who carry out complex tasks yet may have an inadequate skill mix.

Estimating the Degree Centrality Ranking of a Node

Complex networks have gained more attention from the last few years. The size of the real world complex networks, such as online social networks, WWW networks, collaboration networks, is exponentially increasing with time. It is not feasible to completely collect, store and process these networks. In the present work, we propose a method to estimate the degree centrality ranking of a node witho...

Investigating the Impact of Authors’ Rank in Bibliographic Networks on Expertise Retrieval

Background and Aim: this research investigates the impact of authors’ rank in Bibliographic networks on document-centered model of Expertise Retrieval. Its purpose is to find out what kind of authors’ ranking in bibliographic networks can improve the performance of document-centered model.   Methodology: Current research is an experimental one. To operationalize research goals, a new test colle...