{"id":4179,"identifier":"FK2/06LQEJ","persistentUrl":"https://doi.org/10.34820/FK2/06LQEJ","protocol":"doi","authority":"10.34820","publisher":"Root","publicationDate":"2022-03-04","storageIdentifier":"file://10.34820/FK2/06LQEJ","datasetVersion":{"id":16,"datasetId":4179,"datasetPersistentId":"doi:10.34820/FK2/06LQEJ","storageIdentifier":"file://10.34820/FK2/06LQEJ","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","lastUpdateTime":"2022-03-04T10:34:26Z","releaseTime":"2022-03-04T10:34:26Z","createTime":"2022-03-04T07:54:28Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Andry Alamsyah"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom University"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ScopusID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"1st Writer"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Dian Puteri Ramadhani"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom Universitas"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ResearcherID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"2nd Writer"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Farida Titik Kristanti"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom Universitas"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ScopusID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"3rd Writer"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Khairunnisa Khairunnisa"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom Universitas"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ResearcherID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"4th Writer"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"KHAIRUNNISA, KHAIRUNNISA"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom University"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"khairunnisa@telkomuniversity.ac.id"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"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"},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2022-02-24"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Business and Management"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"transaction network; network structure; network topology; network motifs; financial crisis"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"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"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://www.mdpi.com/2227-7099/10/3/56"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"KHAIRUNNISA, KHAIRUNNISA"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-03-04"}]}},"files":[{"label":"economies-10-00056.pdf","restricted":false,"version":1,"datasetVersionId":16,"dataFile":{"id":4180,"persistentId":"doi:10.34820/FK2/06LQEJ/VDLKAG","pidURL":"https://doi.org/10.34820/FK2/06LQEJ/VDLKAG","filename":"economies-10-00056.pdf","contentType":"application/pdf","filesize":1965048,"storageIdentifier":"file://17f53ebbdc2-93a670531b7c","rootDataFileId":-1,"md5":"6de1e612bd0e2807910505b4cb1267cb","checksum":{"type":"MD5","value":"6de1e612bd0e2807910505b4cb1267cb"},"creationDate":"2022-03-04"}}],"citation":"Andry Alamsyah; Dian Puteri Ramadhani; Farida Titik Kristanti; Khairunnisa Khairunnisa, 2022, \"Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives\", https://doi.org/10.34820/FK2/06LQEJ, Root, V1"}}