Pedroche Sánchez, Francisco; Romance, Miguel; Criado Herrero, Regino(American Institute of Physics, 2016-06-02)
In this paper, we present a new view of the PageRank algorithm inspired by multiplex networks. This new approach allows to introduce a new centrality measure for classic complex networks and a new proposal to extend the ...
[EN] Consider a model of information propagation through a network based on time -dependent directed graphs. Let us consider a pulse that starts at any node , an index-a real function acting on the nodes of the network-that ...
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] We describe the application of a communication-reduction technique for the PageRank algorithm that dynamically adapts the precision of the data access to the numerical requirements of the algorithm as the iteration ...
[EN] Identifying the influential nodes in complex networks is a fundamental and practical topic at the moment. In this paper, a new centrality measure for complex networks is proposed based on two contrasting models that ...
Martínez Birlanga, Ariel(Universitat Politècnica de València, 2022-09-20)
[ES] En la actualidad, el posicionamiento web se ha convertido en una de las grandes prioridades para cualquier empresa que quiera tener presencia web. Para lograr dicha tarea se ha intentado estudiar los algoritmos 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] A general growth model of random networks based on centrality measures is introduced. This formalism extends the well-known models of preferential attachment. We propose to set the preferential attachment using a ...
[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 ...
[EN] In this paper, some results concerning the PageRank versatility measure for multiplex networks are given. This measure extends to the multiplex setting the well-known classic PageRank. Particularly, we focus on some ...
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 present some results about the spectrum of the matrix associated with the computation of the Multiplex PageRank defined by the authors in a previous paper. These results can be considered as a natural ...
Flores, Julio; García, Esther; Pedroche Sánchez, Francisco; Romance, Miguel(American Institute of Physics, 2020-02)
[EN] Measures of centrality in networks defined by means of matrix algebra, like PageRank-type centralities, have been used for over 70 years. Recently, new extensions of PageRank have been formulated and may include a ...
Duato Catalán, Daniel(Universitat Politècnica de València, 2015-10-05)
[ES] En este proyecto se ha creado una base de datos MongoDB y una aplicacion en Python ´
que utiliza la API de Twitter para obtener tuits e informacion de las cuentas de usuarios. Se ´
ha obtenido una coleccion de tuits ...
[EN] PageRank can be understood as the stationary distribution of a Markov chain that occurs in a two-layer network with the same set of nodes in both layers: the physical layer and the teleportation layer. In this paper ...
[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 ...
[EN] With the memory bandwidth of current computer architectures being significantly slower than the (floating point) arithmetic performance, many scientific computations only leverage a fraction of the computational power ...