Modelling Damage Propagation in Complex Networks: Life Exists in Half-Chaos

Gecow, Andrzej; Nowostawski, Mariusz

doi:10.1007/978-3-030-81854-8_9

Cited by 2 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A more detailed but still simplified description of models, networks and experiments of half-chaos investigations is provided below in Section 4 . Full existing descriptions contain documentation [ 47 , 48 ] and articles: longer manuscripts [ 2 , 3 ] and shorter article [ 23 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

Cancer and Chaos and the Complex Network Model of a Multicellular Organism

Gecow¹,

Iantovics

Tez

2022

Biology

Self Cite

View full text Add to dashboard Cite

In the search of theoretical models describing cancer, one of promising directions is chaos. It is connected to ideas of “genome chaos” and “life on the edge of chaos”, but they profoundly differ in the meaning of the term “chaos”. To build any coherent models, notions used by both ideas should be firstly brought closer. The hypothesis “life on the edge of chaos” using deterministic chaos has been radically deepened developed in recent years by the discovery of half-chaos. This new view requires a deeper interpretation within the range of the cell and the organism. It has impacts on understanding “chaos” in the term of “genome chaos”. This study intends to present such an interpretation on the basis of which such searches will be easier and closer to intuition. We interpret genome chaos as deterministic chaos in a large module of half-chaotic network modeling the cell. We observed such chaotic modules in simulations of evolution controlled by weaker variant of natural selection. We also discuss differences between free and somatic cells in modeling their disturbance using half-chaotic networks.

show abstract

Section: Introductionmentioning

confidence: 99%

Cancer and Chaos and the Complex Network Model of a Multicellular Organism

Gecow¹,

Iantovics

Tez

2022

Biology

Self Cite

View full text Add to dashboard Cite

show abstract

Semi-Adaptive Evolution with Spontaneous Modularity of Half-Chaotic Randomly Growing Autonomous and Open Networks

Gecow¹,

Iantovics

2022

Symmetry

View full text Add to dashboard Cite

Up until now, studies of Kauffman network stability have focused on the conditions resulting from the structure of the network. Negative feedbacks have been modeled as ice (nodes that do not change their state) in an ordered phase but this blocks the possibility of breaking out of the range of correct operation. This first, very simplified approximation leads to some incorrect conclusions, e.g., that life is on the edge of chaos. We develop a second approximation, which discovers half-chaos and shows its properties. In previous works, half-chaos has been confirmed in autonomous networks, but only using node function disturbance, which does not change the network structure. Now we examine half-chaos during network growth by adding and removing nodes as a disturbance in autonomous and open networks. In such evolutions controlled by a ‘small change’ of functioning after disturbance, the half-chaos is kept but spontaneous modularity emerges and blurs the picture. Half-chaos is a state to be expected in most of the real systems studied, therefore the determinants of the variability that maintains the half-chaos are particularly important in the application of complex network knowledge.

show abstract

Modelling Damage Propagation in Complex Networks: Life Exists in Half-Chaos

Cited by 2 publications

References 22 publications

Cancer and Chaos and the Complex Network Model of a Multicellular Organism

Cancer and Chaos and the Complex Network Model of a Multicellular Organism

Semi-Adaptive Evolution with Spontaneous Modularity of Half-Chaotic Randomly Growing Autonomous and Open Networks

Contact Info

Product

Resources

About