  Recent technological advancements have resulted in a surge in online trading,
raising severe concerns about theft and fraud, especially on platforms like
Bitcoin OTC (over-the-counter), where users' identities remain anonymous. To
mitigate the risk, it has become essential to capture the reputation of users
based on their trade histories. The who-trusts-whom signed network of people
has the capability to reflect the nature of such positive and negative
relations between the users. It can be used to analyze linkage patterns,
strength, and resiliency of such platforms. Due to the dynamic nature of trust
between individuals, these trust networks are often vulnerable to link or node
failures, making it critical to understand the stability of such systems. In
this paper, we consider the problem of quantifying the resiliency of signed
networks with the help of trustworthy community structures. We propose a metric
for computing the Trustworthiness of a community structure. Using the
trustworthiness scores of all communities structures, we generate a pipeline
for assessing the resiliency of a signed network. We also show how these
generated resiliency scores are concordant with the true nature of the network.
