Cargando…
The reconstruction on the game networks with binary-state and multi-state dynamics
Reconstruction of network is to infer the relationship among nodes using observation data, which is helpful to reveal properties and functions of complex systems. In view of the low reconstruction accuracy based on small data and the subjectivity of threshold to infer adjacency matrix, the paper pro...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836369/ https://www.ncbi.nlm.nih.gov/pubmed/35148349 http://dx.doi.org/10.1371/journal.pone.0263939 |
_version_ | 1784649661481484288 |
---|---|
author | Wang, Junfang Guo, Jin-Li |
author_facet | Wang, Junfang Guo, Jin-Li |
author_sort | Wang, Junfang |
collection | PubMed |
description | Reconstruction of network is to infer the relationship among nodes using observation data, which is helpful to reveal properties and functions of complex systems. In view of the low reconstruction accuracy based on small data and the subjectivity of threshold to infer adjacency matrix, the paper proposes two models: the quadratic compressive sensing (QCS) and integer compressive sensing (ICS). Then a combined method (CCS) is given based on QCS and ICS, which can be used on binary-state and multi-state dynamics. It is found that CCS is usually a superior method comparing with compressive sensing, LASSO on several networks with different structures and scales. And it can infer larger node correctly than the other two methods. The paper is conducive to reveal the hidden relationship with small data so that to understand, predicate and control a vast intricate system. |
format | Online Article Text |
id | pubmed-8836369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88363692022-02-12 The reconstruction on the game networks with binary-state and multi-state dynamics Wang, Junfang Guo, Jin-Li PLoS One Research Article Reconstruction of network is to infer the relationship among nodes using observation data, which is helpful to reveal properties and functions of complex systems. In view of the low reconstruction accuracy based on small data and the subjectivity of threshold to infer adjacency matrix, the paper proposes two models: the quadratic compressive sensing (QCS) and integer compressive sensing (ICS). Then a combined method (CCS) is given based on QCS and ICS, which can be used on binary-state and multi-state dynamics. It is found that CCS is usually a superior method comparing with compressive sensing, LASSO on several networks with different structures and scales. And it can infer larger node correctly than the other two methods. The paper is conducive to reveal the hidden relationship with small data so that to understand, predicate and control a vast intricate system. Public Library of Science 2022-02-11 /pmc/articles/PMC8836369/ /pubmed/35148349 http://dx.doi.org/10.1371/journal.pone.0263939 Text en © 2022 Wang, Guo https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Junfang Guo, Jin-Li The reconstruction on the game networks with binary-state and multi-state dynamics |
title | The reconstruction on the game networks with binary-state and multi-state dynamics |
title_full | The reconstruction on the game networks with binary-state and multi-state dynamics |
title_fullStr | The reconstruction on the game networks with binary-state and multi-state dynamics |
title_full_unstemmed | The reconstruction on the game networks with binary-state and multi-state dynamics |
title_short | The reconstruction on the game networks with binary-state and multi-state dynamics |
title_sort | reconstruction on the game networks with binary-state and multi-state dynamics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836369/ https://www.ncbi.nlm.nih.gov/pubmed/35148349 http://dx.doi.org/10.1371/journal.pone.0263939 |
work_keys_str_mv | AT wangjunfang thereconstructiononthegamenetworkswithbinarystateandmultistatedynamics AT guojinli thereconstructiononthegamenetworkswithbinarystateandmultistatedynamics AT wangjunfang reconstructiononthegamenetworkswithbinarystateandmultistatedynamics AT guojinli reconstructiononthegamenetworkswithbinarystateandmultistatedynamics |