{"dcterms:modified":"2022-03-05","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"https://dataverse.telkomuniversity.ac.id/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.34820/FK2/06LQEJ","ore:describes":{"citation:Contact":{"datasetContact:Name":"KHAIRUNNISA, KHAIRUNNISA","datasetContact:Affiliation":"Telkom University","datasetContact:E-mail":"khairunnisa@telkomuniversity.ac.id"},"Related Publication":{"Citation":"Alamsyah, A.; Ramadhani, D.P.; Kristanti, F.T.; Khairunnisa, K. Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives. Economies 2022, 10, 56. https://doi.org/10.3390/economies10030056","ID Type":"doi","URL":"https://www.mdpi.com/2227-7099/10/3/56"},"citation:Description":{"dsDescription:Text":"In 2008, the Lehman Brothers’ bankruptcy, accumulated from the global financial crisis, proved a unique role of the highly interconnected financial entities. Shocks in a bank might trigger loss, induce spillovers, provoke a contagion shock spreading to other entities, trigger the whole banking system to collapse, and ultimately unsettle the worldwide economy. Therefore, evaluating financial stability through a system-wide network approach provides more adequate knowledge than evaluating a bank as an individual. In this approach, individual banks and their transaction activities are modeled into a transaction network, forming a network topology. Financial shocks are generally detected through various macro procedures, such as outstanding external debt and uncontrolled transaction deficits. This study proposes financial shock detection from a macro and micro perspective by exploring the effect of disruption on transaction network structure. We investigate the most changing triadic motif as a crisis predictor from a micro perspective due to the crisis period. The case study is the transaction network structural shift under the 2008 crisis in Indonesia, where the observations were performed from the pre-crisis to the post-crisis period. We discovered a motif with the significant changes as the underlying financial crisis predictor. This scenario provides support for the financial system’s stability control","dsDescription:Date":"2022-02-24"},"citation:Keyword":{"keyword:Term":"transaction network; network structure; network topology; network motifs; financial crisis"},"Author":[{"author:Name":"Andry Alamsyah","author:Affiliation":"Telkom University","Identifier Scheme":"ScopusID","Identifier":"1st Writer"},{"author:Name":"Dian Puteri Ramadhani","author:Affiliation":"Telkom Universitas","Identifier Scheme":"ResearcherID","Identifier":"2nd Writer"},{"author:Name":"Farida Titik Kristanti","author:Affiliation":"Telkom Universitas","Identifier Scheme":"ScopusID","Identifier":"3rd Writer"},{"author:Name":"Khairunnisa Khairunnisa","author:Affiliation":"Telkom Universitas","Identifier Scheme":"ResearcherID","Identifier":"4th Writer"}],"Title":"Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives","Deposit Date":"2022-03-04","Subject":"Business and Management","citation:Depositor":"KHAIRUNNISA, KHAIRUNNISA","@id":"doi:10.34820/FK2/06LQEJ","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:datePublished":"2022-03-04","schema:name":"Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives","schema:dateModified":"Fri Mar 04 17:34:26 WIB 2022","schema:license":"https://creativecommons.org/publicdomain/zero/1.0/","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"KHAIRUNNISA KHAIRUNNISA Dataverse","ore:aggregates":[{"schema:name":"economies-10-00056.pdf","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":16,"@id":"doi:10.34820/FK2/06LQEJ/VDLKAG","schema:sameAs":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/:persistentId?persistentId=doi:10.34820/FK2/06LQEJ/VDLKAG","@type":"ore:AggregatedResource","schema:fileFormat":"application/pdf","dvcore:filesize":1965048,"dvcore:storageIdentifier":"file://17f53ebbdc2-93a670531b7c","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"6de1e612bd0e2807910505b4cb1267cb"}}],"schema:hasPart":["doi:10.34820/FK2/06LQEJ/VDLKAG"]},"@context":{"Author":"http://purl.org/dc/terms/creator","Citation":"http://purl.org/dc/terms/bibliographicCitation","Deposit Date":"http://purl.org/dc/terms/dateSubmitted","ID Type":"http://purl.org/spar/datacite/ResourceIdentifierScheme","Identifier":"http://purl.org/spar/datacite/AgentIdentifier","Identifier Scheme":"http://purl.org/spar/datacite/AgentIdentifierScheme","Related Publication":"http://purl.org/dc/terms/isReferencedBy","Subject":"http://purl.org/dc/terms/subject","Title":"http://purl.org/dc/terms/title","URL":"https://schema.org/distribution","author":"https://dataverse.org/schema/citation/author#","citation":"https://dataverse.org/schema/citation/","datasetContact":"https://dataverse.org/schema/citation/datasetContact#","dcterms":"http://purl.org/dc/terms/","dsDescription":"https://dataverse.org/schema/citation/dsDescription#","dvcore":"https://dataverse.org/schema/core#","keyword":"https://dataverse.org/schema/citation/keyword#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/"}}