Centrality is a relevant topic in the field of network research, due to its various theoretical and practical implications. In general, all centrality metrics aim at measuring the …
Choosing an effective yet efficient solution to the link building problem means to select which nodes in a network should point a newcomer in order to increase its rank while …
Basics of PageRank algorithm have been widely adopted in its variations, tailored for specific scenarios. In this work, we consider the Black Hole metric, an extension of the …
In network science, there is often the need to sort the graph nodes. While the sorting strategy may be different, in general sorting is performed by exploiting the network …
Ranking is a widely used technique to classify nodes in networks according to their relevance. Increasing one’s rank is a desiderable feature in almost any context; several …
The best attachment consists in finding a good strategy that allows a node inside a network to achieve a high rank. This is an open issue due to its intrinsic computational …
The participation to virtual contexts has been increased during the last decade. Trust is often used in such a scenario as a mechanism to establish reliable relationships. In …
Ordering nodes by rank is a benchmark used in several contexts,from recommendation-based trust networks to e-commerce,search engines and websites ranking. In these scenarios,the …
The massive use of web based social networks endorse trustworthiness to establish reliable relationships. Trust is often used to rank entities hence during the attachment process …