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    <identifier identifierType="DOI">10.34820/FK2/06LQEJ</identifier>
    <creators><creator><creatorName>Andry Alamsyah</creatorName><affiliation>(Telkom University)</affiliation></creator><creator><creatorName>Dian Puteri Ramadhani</creatorName><affiliation>(Telkom Universitas)</affiliation></creator><creator><creatorName>Farida Titik Kristanti</creatorName><affiliation>(Telkom Universitas)</affiliation></creator><creator><creatorName>Khairunnisa Khairunnisa</creatorName><affiliation>(Telkom Universitas)</affiliation></creator></creators>
    <titles>
        <title>Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives</title>
    </titles>
    <publisher>Root</publisher>
    <publicationYear>2022</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/06LQEJ/VDLKAG</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">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</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>KHAIRUNNISA, KHAIRUNNISA</contributorName><affiliation>(Telkom University)</affiliation></contributor></contributors>
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