ArticleNature communications2014
Target control of complex networks.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.
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Who cites it
94 citing papers in PubMed.
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- Community structure-regulation coupling reveals optimal information diffusion.Nature communications · 2026Article
- The frequency response of networks as open systems.Nature communications · 2026Article
- Viral receptors as host-pathogen control nodes linking entry, signalling, and system-level pathogenesis.FEMS microbiology reviews · 2026Review
- Controllability preservation in complex networks via minimal edge configurations.Scientific reports · 2025Article
- The Controllability ofBiomimetics (Basel, Switzerland) · 2025Article
- MNMO: discover driver genes from a multi-omics data based-multi-layer network.Bioinformatics (Oxford, England) · 2025Article
- Low-dimensional controllability of brain networks.PLoS computational biology · 2025Article
- In silico medicine and -omics strategies in nephrology: contributions and relevance to the diagnosis and prevention of chronic kidney disease.Kidney research and clinical practice · 2025Article
- Advances in modeling cellular state dynamics: integrating omics data and predictive techniques.Animal cells and systems · 2025Review
- Target controllability: a feed-forward greedy algorithm in complex networks, meeting Kalman's rank condition.Bioinformatics (Oxford, England) · 2024Article
- Reinforcement learning-based pinning control for synchronization suppression in complex networks.Heliyon · 2024Article
- Target control of linear directed networks based on the path cover problem.Scientific reports · 2024Article
- Systems biology approaches to identify driver genes and drug combinations for treating COVID-19.Scientific reports · 2024Article
- Controlling target brain regions by optimal selection of input nodes.PLoS computational biology · 2024Article
- Input node placement restricting the longest control chain in controllability of complex networks.Scientific reports · 2023Article
- Structural controllability of general edge dynamics in complex network.Scientific reports · 2023Article
- Controlling the human microbiome.Cell systems · 2023Review
- Exact Decomposition of Optimal Control Problems via Simultaneous Block Diagonalization of Matrices.IEEE open journal of control systems · 2023Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Controlling large natural and technological networks is an outstanding challenge. It is typically neither feasible nor necessary to control the entire network, prompting us to explore target control: the efficient control of a preselected subset of nodes. We show that the structural controllability approach used for full control overestimates the minimum number of driver nodes needed for target control. Here we develop an alternate 'k-walk' theory for directed tree networks, and we rigorously prove that one node can control a set of target nodes if the path length to each target node is unique. For more general cases, we develop a greedy algorithm to approximate the minimum set of driver nodes sufficient for target control. We find that degree heterogeneous networks are target controllable with higher efficiency than homogeneous networks and that the structure of many real-world networks are suitable for efficient target control.
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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.