… In Section 3 we present some definitions of random walk in monoplex and multiplex networks
and the proposed framework of our prediction index. In Section 4, the multiplex datasets …

… multiplex networks and characterize, respectively, topologically biased random walk and
topologically biased multiplex … cases of biased multiplex PageRank, namely biased additive, …

… of bias in the walker). Here, we introduce topologically biased random walks on multiplex
networks … In particular, according to the dependence of the biased function's parameters on the …

… In general, biased random walks have been used to exploit the peculiar structure of … network.
In this Article we study how to extend random walks to multilayer networks, and how to bias …

… Here we introduce and study biased random walks on multiplex networks, graphs where the
… We focus on degree-biased random walks and distinguish between two classes of walks, …

… of a biased parameter ( α ) in a multiplex Markov chain (MMC) … biased random walks in
multiplex networks. We explore how varying complex network topologies affect the total multiplex …

… of biases in the walks). In the … biased random walk, called topologically biased multiplex
PageRank, which allows to calculate centrality and accordingly rank nodes in multiplex networks…

… in multiplex networks than other models in the literature. However, in this work, we simplify
the random walk … we use two different cases, ie a non-biased case and a biased case. For the …

… In addition, the walk can also jump to a network containing different sets … multiplex-heterogeneous
RWR as compared to several random walks on monoplex or heterogeneous networks. …

… of the biased random walk strategy on packet transmission in multiplex networks. Specifically,
we … We adjust the control parameter α of the biased random walk in the physical layer, and …