KEYWORDS: Chemical elements, Molecules, Biological research, Chemical reactions, Systems modeling, Physics, Mathematical modeling, Gases, Radon, Complex systems
The concept of (auto)catalytic systems has become a cornerstone in understanding evolutionary processes in various
fields. The common ground is the observation that for the production of new species/goods/ideas/elements
etc. the pre-existence of specific other elements is a necessary condition. In previous work some of us showed
that the dynamics of the catalytic network equation can be understood in terms of topological recurrence relations
paving a path towards the analytic tractability of notoriously high dimensional evolution equations. We
apply this philosophy to studies in socio-physics, bio-diversity and massive events of creation and destruction
in technological and biological networks. Cascading events, triggered by small exogenous fluctuations, lead to
dynamics strongly resembling the qualitative picture of Schumpeterian economic evolution. Further we show
that this new methodology allows to mathematically treat a variant of the threshold voter-model of opinion
formation on networks. For fixed topology we find distinct phases of mixed opinions and consensus.
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