10.34820/FK2/06LQEJAndry AlamsyahAndryAlamsyah1st WriterTelkom UniversityDian Puteri RamadhaniDianPuteri Ramadhani2nd WriterTelkom UniversitasFarida Titik KristantiFaridaTitik Kristanti3rd WriterTelkom UniversitasKhairunnisa Khairunnisa4th WriterTelkom UniversitasRoot2022Business and Managementtransaction network; network structure; network topology; network motifs; financial crisisKHAIRUNNISA, KHAIRUNNISATelkom University2022-03-042022-03-041965048application/pdf1.0CC0 WaiverIn 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