Companies in the United States are concerned with retaining minority employees to maintain or increase the diversity of their workforce. Here we assess the value of one approach companies have used to retain minority employees: "network" groups. Based on data obtained from a large company with...

Do minority employees join network groups due to social identity, dissatisfaction with conditions at work, or career costs and benefits? Results show that joining is driven by social identity as well as expected costs (backlash) and benefits (career enhancement) but not by dissatisfaction,...

Bitcoin blockchain has grown into an active global virtual money network with millions of accounts.We propose a Sparse-Group Network AutoRegressive (SGNAR) model to understand the dynamics of its cross-border transactions. It describes the money flows of virtual funds, with a focus on the...

Known as an active global virtual money network, Bitcoin blockchain with millions of accounts has played an ever-growing important role in fund transition, digital payment and hedging. We propose a method to Detect Influencers in Network AutoRegressive models (DINAR) via sparse-group...

Understanding multi-market interactions and identifying leading markets in the global financial network is of interest to investors, regulators and policymakers. To discover the essential dynamic dependencies of digital currency exchanges, we propose TriSNAR, a three-layer sparse estimator for...