Literature DB >> 11863583

Crashes, recoveries, and "core shifts" in a model of evolving networks.

Sanjay Jain1, Sandeep Krishna.   

Abstract

A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network inevitably self- organizes into an autocatalytic structure, which consists of an irreducible "core" surrounded by a parasitic "periphery." Crashes typically occur when the existing autocatalytic set becomes fragile and suffers a "core shift," defined graph theoretically. The nature of the recovery after a crash, in particular, the time of recovery, depends upon the organizational structure that survives the crash. The largest eigenvalue of the adjacency matrix of the graph is an important signal of network fragility or robustness.

Entities:  

Year:  2002        PMID: 11863583     DOI: 10.1103/PhysRevE.65.026103

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

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2.  Symmetry of interactions rules in incompletely connected random replicator ecosystems.

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Journal:  Eur Phys J E Soft Matter       Date:  2014-06-27       Impact factor: 1.890

3.  A theoretical framework for controlling complex microbial communities.

Authors:  Marco Tulio Angulo; Claude H Moog; Yang-Yu Liu
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5.  Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions.

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Journal:  Front Robot AI       Date:  2020-04-28

6.  Low degree metabolites explain essential reactions and enhance modularity in biological networks.

Authors:  Areejit Samal; Shalini Singh; Varun Giri; Sandeep Krishna; Nandula Raghuram; Sanjay Jain
Journal:  BMC Bioinformatics       Date:  2006-03-08       Impact factor: 3.169

7.  Predicting the Lifetime of Dynamic Networks Experiencing Persistent Random Attacks.

Authors:  Boris Podobnik; Tomislav Lipic; Davor Horvatic; Antonio Majdandzic; Steven R Bishop; H Eugene Stanley
Journal:  Sci Rep       Date:  2015-09-21       Impact factor: 4.379

8.  Evolution models with extremal dynamics.

Authors:  Petri P Kärenlampi
Journal:  Heliyon       Date:  2016-08-26
  8 in total

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