  The instability of financial system issues might trigger a bank failure,
evoke spillovers, and generate contagion effects which negatively impacted the
financial system, ultimately on the economy. This phenomenon is the result of
the highly interconnected banking transaction. The banking transactions network
is considered as a financial architecture backbone. The strong
interconnectedness between banks escalates contagion disruption spreading over
the banking network and trigger the entire system collapse. This far, the
financial instability is generally detected using macro approach mainly the
uncontrolled transaction deficits amount and unpaid foreign debt. This research
proposes financial instability detection in another point of view, through the
macro view where the banking network structure are explored globally and micro
view where focuses on the detailed network patterns called motif. Network
triadic motif patterns used as a denomination to detect financial instability.
The most related network triadic motif changes related to the instability
period are determined as a detector. We explore the banking network behavior
under financial instability phenomenon along with the major religious event in
Indonesia, Eid al-Fitr. We discover one motif pattern as the financial
instability underlying detector. This research helps to support the financial
system stability supervision.
