Identifying board of director network influence for firm characteristics

We utilize multiplex network analysis to evaluate the relationship between firms’ characteristics and board of director networks. Studying a sample of 384 board members of 20 largest US energy and utility firms, 10 from each sector, the firms are differentiated by a clustering analysis on their firm-level characteristics. The firms’ board member connections are represented in a multiplex network consisting of two layers, one for the board...