Use of Business Network Analysis for Identifying Financial Fraud Features

Constructions of fraud features in existing studies focus on accounting measures and financial ratios extracted from the financial statements. Accordingly, there have been some considerable fraud sources under-explored. This highlights the theoretical and practical values toward social context fraud features mining and analysis. Following the design science research framework, this research-in-progress paper aims to contribute two kinds of artifacts. First, we utilize the business network analysis to detect latent contextual fraud features. Second, a framework is designed to identify fraud features from both financial statement and various social media contents and conduct automated financial fraud detection. Our preliminary experimental results confirm that the business network analysis could find some potential fraud evidence for decision making.