_version_ 1852019613509877760
author Ziwen Jiang (1341279)
author2 Xu Jiang (1602100)
Huanlan Yan (21492409)
Yu Xie (541970)
Jiamin Yao (18804414)
author2_role author
author
author
author
author_facet Ziwen Jiang (1341279)
Xu Jiang (1602100)
Huanlan Yan (21492409)
Yu Xie (541970)
Jiamin Yao (18804414)
author_role author
dc.creator.none.fl_str_mv Ziwen Jiang (1341279)
Xu Jiang (1602100)
Huanlan Yan (21492409)
Yu Xie (541970)
Jiamin Yao (18804414)
dc.date.none.fl_str_mv 2025-06-05T17:34:13Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0324981.g002
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Changes_in_asset_ratios_of_the_top_10_banks_from_2016_to_2023_/29248534
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Developmental Biology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
remained largely underexplored
offering practical recommendations
term cooperative alliances
risk contagion dynamics
interbank lending strategies
drive financial markets
world banking alliances
overall financial system
modeling interbank lending
integrates alliance relationships
interbank lending networks
banking alliance networks
banking alliances
interbank relationships
lending behavior
financial market
financial institutions
dynamic system
contagion mechanisms
based modeling
based networks
xlink ">
underlying mechanisms
structural effects
simulation experiments
relies heavily
paper presents
novel approach
network structures
interactions among
highly intricate
extensive research
dynamic network
comprehensive understanding
central pillars
accurately represent
dc.title.none.fl_str_mv Changes in asset ratios of the top 10 banks from 2016 to 2023.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>Changes in asset ratios of the top 10 banks from 2016 to 2023.</p>
eu_rights_str_mv openAccess
id Manara_66ebcd94be76b6c8e45f151e7df9f8de
identifier_str_mv 10.1371/journal.pone.0324981.g002
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29248534
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Changes in asset ratios of the top 10 banks from 2016 to 2023.Ziwen Jiang (1341279)Xu Jiang (1602100)Huanlan Yan (21492409)Yu Xie (541970)Jiamin Yao (18804414)Developmental BiologyCancerBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedremained largely underexploredoffering practical recommendationsterm cooperative alliancesrisk contagion dynamicsinterbank lending strategiesdrive financial marketsworld banking alliancesoverall financial systemmodeling interbank lendingintegrates alliance relationshipsinterbank lending networksbanking alliance networksbanking alliancesinterbank relationshipslending behaviorfinancial marketfinancial institutionsdynamic systemcontagion mechanismsbased modelingbased networksxlink ">underlying mechanismsstructural effectssimulation experimentsrelies heavilypaper presentsnovel approachnetwork structuresinteractions amonghighly intricateextensive researchdynamic networkcomprehensive understandingcentral pillarsaccurately represent<p>Changes in asset ratios of the top 10 banks from 2016 to 2023.</p>2025-06-05T17:34:13ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324981.g002https://figshare.com/articles/figure/Changes_in_asset_ratios_of_the_top_10_banks_from_2016_to_2023_/29248534CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292485342025-06-05T17:34:13Z
spellingShingle Changes in asset ratios of the top 10 banks from 2016 to 2023.
Ziwen Jiang (1341279)
Developmental Biology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
remained largely underexplored
offering practical recommendations
term cooperative alliances
risk contagion dynamics
interbank lending strategies
drive financial markets
world banking alliances
overall financial system
modeling interbank lending
integrates alliance relationships
interbank lending networks
banking alliance networks
banking alliances
interbank relationships
lending behavior
financial market
financial institutions
dynamic system
contagion mechanisms
based modeling
based networks
xlink ">
underlying mechanisms
structural effects
simulation experiments
relies heavily
paper presents
novel approach
network structures
interactions among
highly intricate
extensive research
dynamic network
comprehensive understanding
central pillars
accurately represent
status_str publishedVersion
title Changes in asset ratios of the top 10 banks from 2016 to 2023.
title_full Changes in asset ratios of the top 10 banks from 2016 to 2023.
title_fullStr Changes in asset ratios of the top 10 banks from 2016 to 2023.
title_full_unstemmed Changes in asset ratios of the top 10 banks from 2016 to 2023.
title_short Changes in asset ratios of the top 10 banks from 2016 to 2023.
title_sort Changes in asset ratios of the top 10 banks from 2016 to 2023.
topic Developmental Biology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
remained largely underexplored
offering practical recommendations
term cooperative alliances
risk contagion dynamics
interbank lending strategies
drive financial markets
world banking alliances
overall financial system
modeling interbank lending
integrates alliance relationships
interbank lending networks
banking alliance networks
banking alliances
interbank relationships
lending behavior
financial market
financial institutions
dynamic system
contagion mechanisms
based modeling
based networks
xlink ">
underlying mechanisms
structural effects
simulation experiments
relies heavily
paper presents
novel approach
network structures
interactions among
highly intricate
extensive research
dynamic network
comprehensive understanding
central pillars
accurately represent