HETEROGENEOUS EPIDEMIOLOGIC INFLUENCE SPREADING MODELS IN COMPLEX NETWORKS

Date Issued
2009-09
Author(s)
Kocarev, Ljupcho
Abstract
Many of the systems around us are
connected in networks with complex patterns
forming a complex networks. The individuals of
these networks interact among each other tending
to impose theirs own state to the surrounding
individuals. Such tendencies cause dynamic
processes in complex networks defined as
influence spreading. There is a big diversity of
such processes, and their research gives important
results for predicting the speed and rate of
spreading of many processes like natural viruses,
computer viruses, social processes etc.
Subjects

complex networks, inf...

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