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- 01GMAFGC68FFKRXGP7KFQ7NGAR classification A2.
- 01GMAFGC68FFKRXGP7KFQ7NGAR date "2023".
- 01GMAFGC68FFKRXGP7KFQ7NGAR language "eng".
- 01GMAFGC68FFKRXGP7KFQ7NGAR type journalArticle.
- 01GMAFGC68FFKRXGP7KFQ7NGAR hasPart 01GQ7E9T71Z4P618T8RCWBJ0SB.pdf.
- 01GMAFGC68FFKRXGP7KFQ7NGAR hasPart urn:uuid:1250813b-e69b-494e-9062-fc54143641d7.
- 01GMAFGC68FFKRXGP7KFQ7NGAR subject "Physics and Astronomy".
- 01GMAFGC68FFKRXGP7KFQ7NGAR doi "10.1103/PhysRevResearch.5.013025".
- 01GMAFGC68FFKRXGP7KFQ7NGAR issn "2643-1564".
- 01GMAFGC68FFKRXGP7KFQ7NGAR issue "1".
- 01GMAFGC68FFKRXGP7KFQ7NGAR volume "5".
- 01GMAFGC68FFKRXGP7KFQ7NGAR abstract "O-information is an information-theoretic metric that captures the overall balance between redundant and synergistic information shared by groups of three or more variables. To complement the global assessment provided by this metric, here we propose the gradients of the O-information as low-order descriptors that can characterize how high-order effects are localized across a system of interest. We illustrate the capabilities of the proposed framework by revealing the role of specific spins in Ising models with frustration, in Ising models with three-spin interactions, and in a linear vectorial autoregressive process. We also provide an example of practical data analysis on U.S. macroeconomic data. Our theoretical and empirical analyses demonstrate the potential of these gradients to highlight the contribution of variables in forming high-order informational circuits.".
- 01GMAFGC68FFKRXGP7KFQ7NGAR author 31BC56A8-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:200b07b0-b10e-4cc4-a098-92afc996933a.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:30f3369e-fedf-4d98-90cd-57eb46ed8940.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:5a214777-db4c-48c0-8353-865df90184ce.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:cad93565-5d1d-4ad0-89c3-68531d8aacf1.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:d9ab04a5-ab9f-4946-bfc5-6548f5996d9e.
- 01GMAFGC68FFKRXGP7KFQ7NGAR author urn:uuid:fe68e33b-96b5-4cf2-bc8d-712652e16cef.
- 01GMAFGC68FFKRXGP7KFQ7NGAR dateCreated "2022-12-15T08:48:07Z".
- 01GMAFGC68FFKRXGP7KFQ7NGAR dateModified "2024-07-09T15:37:34Z".
- 01GMAFGC68FFKRXGP7KFQ7NGAR name "Gradients of O-information : low-order descriptors of high-order dependencies".
- 01GMAFGC68FFKRXGP7KFQ7NGAR pagination urn:uuid:5dc4abbc-81bb-4f6f-8f24-e45acbe78520.
- 01GMAFGC68FFKRXGP7KFQ7NGAR sameAs LU-01GMAFGC68FFKRXGP7KFQ7NGAR.
- 01GMAFGC68FFKRXGP7KFQ7NGAR sourceOrganization urn:uuid:ab6def8f-8a9b-4b05-9476-777c54ac90d7.
- 01GMAFGC68FFKRXGP7KFQ7NGAR type A2.