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Paper detail

Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs

Co-occurence networks can be adequately modeled by hyper-bag-graphs (hb-graphs for short). A hb-graph is a family of multisets having same universe, called the vertex set. An efficient exchange-based diffusion scheme has been previously proposed that allows the ranking of both vertices and hb-edges. In this article, we extend this scheme to allow biases of different kinds and explore their effect on the different rankings obtained. The biases enhance the emphasize on some particular aspects of the network.

preprint2020arXivOpen access
Xavier OuvrardJean-Marie Le GoffStéphane Marchand-Maillet
math.COSocial and Information NetworksDiscrete Mathematics
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Xavier OuvrardJean-Marie Le GoffStéphane Marchand-Maillet

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