ArticleScientific reports2016
Control of complex networks requires both structure and dynamics.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 117 citations in OpenAlex.
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- Global stabilization of Boolean networks with applications to biomolecular network control.Scientific reports · 2025Article
- Hyperedge overlap drives explosive transitions in systems with higher-order interactions.Nature communications · 2025Article
- Control of complex systems with generalized embedding and empirical dynamic modeling.PloS one · 2024Article
- Orders between Channels and Implications for Partial Information Decomposition.Entropy (Basel, Switzerland) · 2023Article
- Statistical control of structural networks with limited interventions to minimize cellular phenotypic diversity represented by point attractors.Scientific reports · 2023Article
- The nonlinearity of regulation in biological networks.NPJ systems biology and applications · 2023Article
- Effective Connectivity and Bias Entropy Improve Prediction of Dynamical Regime in Automata Networks.Entropy (Basel, Switzerland) · 2023Article
- Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs.PLoS computational biology · 2023Article
- Global stabilizing control of large-scale biomolecular regulatory networks.Bioinformatics (Oxford, England) · 2023Article
- Developmental maturation of causal signaling hubs in voluntary control of saccades and their functional controllability.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- On the feasibility of dynamical analysis of network models of biochemical regulation.Bioinformatics (Oxford, England) · 2022Article
- Influence maximization in Boolean networks.Nature communications · 2022Article
- A straightforward edge centrality concept derived from generalizing degree and strength.Scientific reports · 2022Article
- Effective connectivity determines the critical dynamics of biochemical networks.Journal of the Royal Society, Interface · 2022Article
- The distance backbone of complex networks.Journal of complex networks · 2021Article
- Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer.Communications biology · 2021Article
- Informational architecture across non-living and living collectives.Theory in biosciences = Theorie in den Biowissenschaften · 2021Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
The study of network structure has uncovered signatures of the organization of complex systems. However, there is also a need to understand how to control them; for example, identifying strategies to revert a diseased cell to a healthy state, or a mature cell to a pluripotent state. Two recent methodologies suggest that the controllability of complex systems can be predicted solely from the graph of interactions between variables, without considering their dynamics: structural controllability and minimum dominating sets. We demonstrate that such structure-only methods fail to characterize controllability when dynamics are introduced. We study Boolean network ensembles of network motifs as well as three models of biochemical regulation: the segment polarity network in Drosophila melanogaster, the cell cycle of budding yeast Saccharomyces cerevisiae, and the floral organ arrangement in Arabidopsis thaliana. We demonstrate that structure-only methods both undershoot and overshoot the number and which sets of critical variables best control the dynamics of these models, highlighting the importance of the actual system dynamics in determining control. Our analysis further shows that the logic of automata transition functions, namely how canalizing they are, plays an important role in the extent to which structure predicts dynamics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.