Angelica Vargas
Profesora Departamento de Matemáticas
Universidad Sergio Arboleda
The PWP method was introduced by Díaz in 2009 as a technique for measuring indirect influences in complex networks. It depends on a matrix $D$, provided by the user, called the matrix of direct influences, and on a positive real parameter $\lambda$ which is part of the method itself. We study changes in the method's predictions as $D$ and $\lambda$ vary.