: Random Walks on Multiplex Networks, ArXiv 1306.0519 (2013).De Domenico M, Sole A, Gómez S, Arenas A (2013) Random walk on multiplex networks. arxiv:1306.0519.De Domenico, M., Sole, A., Gomez, S. and Arenas, A. : Random Walks on Multiplex Networks, ArXiv 1306.0519 (2013)....
Biological networks have proven invaluable ability for representing biological knowledge. Multilayer networks, which gather different types of nodes and edges in multiplex, heterogeneous and bipartite networks, provide a natural way to integrate diverse
Random walks on the traditional networks have achieved a series of research results in many aspects, such as analysis of node centrality, community detection, link prediction, etc. and have a wide range of applications. Actually, random walks can also apply to the signed networks which contain ...
QUOTE: In this study, we extended theRWR algorithmtomultiplex and heterogeneous networks. (...) Thesource codeis available onGitHubat:https://github.com/alberto-valdeolivas/RWR-MH. In addition, anR packageis freely available throughBioconductorat:http://bioconductor.org/packages/RandomWalkRestartMH...
to other quasi-local random walk based methods, i.e., LRW and SRW, the obtained results for Food, Dolphins, and Physicians networks shows approximately 6%, 5%, and 7% improvement of AUC for MIRW, which emphasizes the role of mutual influence in measuring the similarity using random walks. ...
Nasiri E, Berahmand K, Li Y (2021) A new link prediction in multiplex networks using topologically biased random walks. Chaos Solitons Fractals 151:111230 Google Scholar Nguyen GN, Le Viet NH, Elhoseny M, Shankar K, Gupta BB, Abd El-Latif AA (2021) Secure blockchain enabled Cyber-phys...
on multiplex network. rwr algorithm can be seen as an extension of the pagerank algorithm developed by google [ 24 ]. an imaginary particle starts a random walk from the seed node. at each step, the particle either walks to other nodes with a certain probability, or returns to the seed ...
We test the theoretical predictions on a toy example and on numerical data, and discuss their implications for network theory, in particular in the case of temporal or multiplex networks.Journal of Complex Networks
In this paper, we propose the RWRT (Random Walks with Restart on Tensor) method to accomplish protein function prediction by applying bi-random walks on the tensor. RWRT firstly constructs a functional similarity tensor by combining protein interaction networks with multi-omics data derived from do...
We explore approaches for leveraging information mined from inter-layer and intra-layer in a multiplex network to define a biased random walk for finding the probability of the appearance of a new link in one target layer. Experimental studies on seven multiplex networks in the real world ...