In this paper, we present a model to classify users of Social Networks. In particular, we focus on Social Network Sites. The model is based on the PageRank algorithm. We use the personalization vector to bias the PageRank ...
[EN] The worldwide football transfer market is analyzed as a directed complex
network: the football clubs are the network nodes and the directed edges are
weighted by the total amount of money transferred from a club to ...
n this paper we present a new framework to identify leaders in a Social Network Site using the Personalized PageRank vector. The methodology is based on the concept of Leadership group recently introduced by one of the ...
[EN] In this communication a recent method to classify the users of an SNS into Competitivity groups is recalled. This method is based on the PageRank algorithm. Competitivity groups are sets of nodes that compete among ...
In this paper new results on personalized PageRank are shown. We consider directed graphs that may contain dangling nodes. The main result presented gives an analytical characterization of all the possible values of the ...
[EN] In this paper we apply a recent model of Multiplex PageRank to the
multiplex network formed with the 9 lines of the metro of Valencia (Spain). We
compute the PageRank vector following di erent approaches and we ...