Spreading Activation on Complex Networks with Community Structures

Student: Vorobyov Sergey

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Mathematical Methods of Modelling and Computer Technologies (Master)

Final Grade: 8

Year of Graduation: 2021

To date, effective analysis of networks with communities in conjunction with distribution models can significantly slow down the growth of the epidemic, but much attention is paid to intra-cluster interactions, leaving external links without attention. In this paper, we consider a method for reducing the dynamics of activation propagation, which is based on randomization of external links between communities, and also provide the tools necessary for the construction of this analysis, which are implemented in the form of a software library.

Full text (added May 23, 2021)

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