ArticleScientific reports2013
Structural controllability of unidirectional bipartite networks.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 101 citations in OpenAlex.
- Article
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- On the feasibility of dynamical analysis of network models of biochemical regulation.Bioinformatics (Oxford, England) · 2022Article
- The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Appropriate time to apply control input to complex dynamical systems.Scientific reports · 2020Article
- A biochemical network modeling of a whole-cell.Scientific reports · 2020Article
- A topology-dynamics-based control strategy for multi-dimensional complex networked dynamical systems.Scientific reports · 2019Article
- Harnessing tipping points in complex ecological networks.Journal of the Royal Society, Interface · 2019Article
- Finding and analysing the minimum set of driver nodes required to control multilayer networks.Scientific reports · 2019Article
- Optimizing HIV Interventions for Multiplex Social Networks via Partition-Based Random Search.IEEE transactions on cybernetics · 2018Article
- Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.Briefings in bioinformatics · 2018Article
- Bipartite graphs in systems biology and medicine: a survey of methods and applications.GigaScience · 2018Review
- Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective.Frontiers in computational neuroscience · 2018Article
- CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks.Frontiers in physiology · 2018Article
- Critical controllability analysis of directed biological networks using efficient graph reduction.Scientific reports · 2017Article
- Explorability and the origin of network sparsity in living systems.Scientific reports · 2017Article
- An efficient algorithm for finding all possible input nodes for controlling complex networks.Scientific reports · 2017Article
- Structure-based control of complex networks with nonlinear dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Physical controllability of complex networks.Scientific reports · 2017Article
- Identification of genes and critical control proteins associated with inflammatory breast cancer using network controllability.PloS one · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interactions between fundamental life molecules, people and social organisations build complex architectures that often result in undesired behaviours. Despite all of the advances made in our understanding of network structures over the past decade, similar progress has not been achieved in the controllability of real-world networks. In particular, an analytical framework to address the controllability of bipartite networks is still absent. Here, we present a dominating set (DS)-based approach to bipartite network controllability that identifies the topologies that are relatively easy to control with the minimum number of driver nodes. Our theoretical calculations, assisted by computer simulations and an evaluation of real-world networks offer a promising framework to control unidirectional bipartite networks. Our analysis should open a new approach to reverting the undesired behaviours in unidirectional bipartite networks at will.
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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.