Purpose: So as to understand the effects of network resources on firm innovation and performance within alliances and networks, this paper aims to examine the correlation between network resources and innovation performance through the mediation of capability accumulation and relative bargaining...

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...