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  • Open Access


    Core-based Approach to Measure Pairwise Layer Similarity in Multiplex Network

    Debasis Mohapatra1, Sourav Kumar Bhoi1, Kalyan Kumar Jena1, Chittaranjan Mallick2, Kshira Sagar Sahoo3, N. Z. Jhanjhi4,*, Mehedi Masud5

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 51-64, 2022, DOI:10.32604/iasc.2022.024561

    Abstract Most of the recent works on network science are focused on investigating various interactions among a set of entities present in a system that can be represented by multiplex network. Each type of relationship is treated as a layer of multiplex network. Some of the recent works on multiplex networks are focused on deriving layer similarity from node similarity where node similarity is evaluated using neighborhood similarity measures like cosine similarity and Jaccard similarity. But this type of analysis lacks in finding the set of nodes having the same influence in both the network. The… More >

  • Open Access


    Influence Diffusion Model in Multiplex Networks

    Senbo Chen1, 3, *, Wenan Tan1, 2

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 345-358, 2020, DOI:10.32604/cmc.2020.09807

    Abstract The problem of influence maximizing in social networks refers to obtaining a set of nodes of a specified size under a specific propagation model so that the aggregation of the node-set in the network has the greatest influence. Up to now, most of the research has tended to focus on monolayer network rather than on multiplex networks. But in the real world, most individuals usually exist in multiplex networks. Multiplex networks are substantially different as compared with those of a monolayer network. In this paper, we integrate the multi-relationship of agents in multiplex networks by… More >

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