ArticleJournal of the Royal Society, Interface2017
Fundamental limitations of network reconstruction from temporal data.
Article in Journal of the Royal Society, Interface, 2017. 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.
- Interaction matrices as unifying tools for navigating ecological complexity.Nature ecology & evolution · 2026Review
- Control of cortical population activity with patterned microstimulation.bioRxiv : the preprint server for biology · 2026Article
- Linking complex microbial interactions and dysbiosis through a disordered Lotka-Volterra model.eLife · 2026Article
- gNODE: gLV model-informed neural ordinary differential equations for modeling microbial community dynamics.Frontiers in cellular and infection microbiology · 2026Article
- Unifying fragmented perspectives with additive deep learning for high-dimensional models from partial faceted datasets.npj biological physics and mechanics · 2025Article
- mbDriver: identifying driver microbes in microbial communities based on time-series microbiome data.Briefings in bioinformatics · 2024Article
- Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data.NPJ systems biology and applications · 2024Article
- Controlling the human microbiome.Cell systems · 2023Review
- Article
- Network inference from perturbation time course data.NPJ systems biology and applications · 2022Article
- Understanding the impact of third-party species on pairwise coexistence.PLoS computational biology · 2022Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Coexistence holes characterize the assembly and disassembly of multispecies systems.Nature ecology & evolution · 2021Article
- Generalizing game-changing species across microbial communities.ISME communications · 2021Article
- New Cross-Talks between Pathways Involved in Grapevine Infection with 'Plants (Basel, Switzerland) · 2021Article
- Experimental evidence of the importance of multitrophic structure for species persistence.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Data-driven control of complex networks.Nature communications · 2021Article
- Unsupervised learning of control signals and their encodings inJournal of the Royal Society, Interface · 2020Article
- Ecological models: higher complexity in, higher feasibility out.Journal of the Royal Society, Interface · 2020Article
- Reconstructing ecological networks with noisy dynamics.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inferring properties of the interaction matrix that characterizes how nodes in a networked system directly interact with each other is a well-known network reconstruction problem. Despite a decade of extensive studies, network reconstruction remains an outstanding challenge. The fundamental limitations governing which properties of the interaction matrix (e.g. adjacency pattern, sign pattern or degree sequence) can be inferred from given temporal data of individual nodes remain unknown. Here, we rigorously derive the necessary conditions to reconstruct any property of the interaction matrix. Counterintuitively, we find that reconstructing any property of the interaction matrix is generically as difficult as reconstructing the interaction matrix itself, requiring equally informative temporal data. Revealing these fundamental limitations sheds light on the design of better network reconstruction algorithms that offer practical improvements over existing methods.
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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.