important node is connected to important neighbor
is a measure that reflects the fact that not all connections are equal, and in fact, connections to people that are more influential are more important (Newman, 2012). Mathematically, the measure of eigenvector centrality is derived from the weights that consist of the values from the leading eigenvector (the eigenvector associated with the largest eigenvalue) of the adjacency matrix depicting the network.