Matches in SemOpenAlex for { <https://semopenalex.org/work/W2532587352> ?p ?o ?g. }
- W2532587352 abstract "To understand, predict, and control complex networked systems, a prerequisite is to reconstruct the network structure from observable data. Despite recent progress in network reconstruction, binary-state dynamics that are ubiquitous in nature, technology and society still present an outstanding challenge in this field. Here we offer a framework for reconstructing complex networks with binary-state dynamics by developing a universal data-based linearization approach that is applicable to systems with linear, nonlinear, discontinuous, or stochastic dynamics governed by monotonous functions. The linearization procedure enables us to convert the network reconstruction into a sparse signal reconstruction problem that can be resolved through convex optimization. We demonstrate generally high reconstruction accuracy for a number of complex networks associated with distinct binary-state dynamics from using binary data contaminated by noise and missing data. Our framework is completely data driven, efficient and robust, and does not require any a priori knowledge about the detailed dynamical process on the network. The framework represents a general paradigm for reconstructing, understanding, and exploiting complex networked systems with binary-state dynamics." @default.
- W2532587352 created "2016-10-28" @default.
- W2532587352 creator A5019554559 @default.
- W2532587352 creator A5036934963 @default.
- W2532587352 creator A5040894517 @default.
- W2532587352 creator A5046036796 @default.
- W2532587352 creator A5049465421 @default.
- W2532587352 date "2017-03-02" @default.
- W2532587352 modified "2023-10-18" @default.
- W2532587352 title "Universal data-based method for reconstructing complex networks with binary-state dynamics" @default.
- W2532587352 cites W1544632947 @default.
- W2532587352 cites W1878853999 @default.
- W2532587352 cites W1967531011 @default.
- W2532587352 cites W1968164782 @default.
- W2532587352 cites W1974430480 @default.
- W2532587352 cites W1981949323 @default.
- W2532587352 cites W1982821381 @default.
- W2532587352 cites W1983272724 @default.
- W2532587352 cites W1983782104 @default.
- W2532587352 cites W1984688056 @default.
- W2532587352 cites W1985126731 @default.
- W2532587352 cites W1992195122 @default.
- W2532587352 cites W1994739812 @default.
- W2532587352 cites W1997339397 @default.
- W2532587352 cites W1997418576 @default.
- W2532587352 cites W2008620264 @default.
- W2532587352 cites W2009090037 @default.
- W2532587352 cites W2015208937 @default.
- W2532587352 cites W2022704310 @default.
- W2532587352 cites W2023361568 @default.
- W2532587352 cites W2025616741 @default.
- W2532587352 cites W2033150668 @default.
- W2532587352 cites W2038195874 @default.
- W2532587352 cites W2041157860 @default.
- W2532587352 cites W2058105398 @default.
- W2532587352 cites W2062450964 @default.
- W2532587352 cites W2070722739 @default.
- W2532587352 cites W2076372398 @default.
- W2532587352 cites W2077975924 @default.
- W2532587352 cites W2078008084 @default.
- W2532587352 cites W2089438290 @default.
- W2532587352 cites W2092917423 @default.
- W2532587352 cites W2092994772 @default.
- W2532587352 cites W2093828424 @default.
- W2532587352 cites W2098201978 @default.
- W2532587352 cites W2099540651 @default.
- W2532587352 cites W2101420429 @default.
- W2532587352 cites W2104109956 @default.
- W2532587352 cites W2104266187 @default.
- W2532587352 cites W2105813236 @default.
- W2532587352 cites W2106569518 @default.
- W2532587352 cites W2112090702 @default.
- W2532587352 cites W2116155634 @default.
- W2532587352 cites W2118527621 @default.
- W2532587352 cites W2119667497 @default.
- W2532587352 cites W2120991191 @default.
- W2532587352 cites W2125631472 @default.
- W2532587352 cites W2129794000 @default.
- W2532587352 cites W2137258853 @default.
- W2532587352 cites W2145096794 @default.
- W2532587352 cites W2150041461 @default.
- W2532587352 cites W2157082398 @default.
- W2532587352 cites W2164452299 @default.
- W2532587352 cites W3105151111 @default.
- W2532587352 cites W41049822 @default.
- W2532587352 cites W4238452917 @default.
- W2532587352 cites W4250955649 @default.
- W2532587352 doi "https://doi.org/10.1103/physreve.95.032303" @default.
- W2532587352 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28415181" @default.
- W2532587352 hasPublicationYear "2017" @default.
- W2532587352 type Work @default.
- W2532587352 sameAs 2532587352 @default.
- W2532587352 citedByCount "29" @default.
- W2532587352 countsByYear W25325873522017 @default.
- W2532587352 countsByYear W25325873522018 @default.
- W2532587352 countsByYear W25325873522019 @default.
- W2532587352 countsByYear W25325873522020 @default.
- W2532587352 countsByYear W25325873522021 @default.
- W2532587352 countsByYear W25325873522022 @default.
- W2532587352 countsByYear W25325873522023 @default.
- W2532587352 crossrefType "journal-article" @default.
- W2532587352 hasAuthorship W2532587352A5019554559 @default.
- W2532587352 hasAuthorship W2532587352A5036934963 @default.
- W2532587352 hasAuthorship W2532587352A5040894517 @default.
- W2532587352 hasAuthorship W2532587352A5046036796 @default.
- W2532587352 hasAuthorship W2532587352A5049465421 @default.
- W2532587352 hasBestOaLocation W25325873521 @default.
- W2532587352 hasConcept C111472728 @default.
- W2532587352 hasConcept C11210021 @default.
- W2532587352 hasConcept C11413529 @default.
- W2532587352 hasConcept C115961682 @default.
- W2532587352 hasConcept C121332964 @default.
- W2532587352 hasConcept C136764020 @default.
- W2532587352 hasConcept C138885662 @default.
- W2532587352 hasConcept C154945302 @default.
- W2532587352 hasConcept C158622935 @default.
- W2532587352 hasConcept C2779190172 @default.
- W2532587352 hasConcept C33923547 @default.
- W2532587352 hasConcept C34947359 @default.
- W2532587352 hasConcept C41008148 @default.