Manageable to unmanageable transition in a fractal model of project networks

Project networks are characterized by power law degree distributions, a property that is known to promote spreading. In contrast, the longest path length of project networks scales algebraically with the network size, which improves the impact of random interventions. Using the duplication-split model of project networks, I provide convincing evidence that project networks are fractal networks. The average distance between nodes scales as d ~ N^β with $0<β<1$. The average number of nodes Nd within a distance d scales as Nd~ dDf, with a fractal dimension Df=1/β>1. Furthermore, I demonstrate that the duplication-split networks are fragile for duplication rates qqc, in spite the mean out-degree diverges with increasing the network size. I conclude the project networks generated by the duplication-split model are manageable for $q