Hierarchical effects facilitate spreading processes on synthetic and empirical multilayer networks.

ABSTRACT: In this paper we consider the effects of corporate hierarchies on innovation spread across multilayer networks, modeled by an elaborated SIR framework. We show that the addition of management layers can significantly improve spreading processes on both random geometric graphs and empirical corporate networks. Additionally, we show that utilizing a more centralized working relationship network rather than a strict administrative network further increases overall innovation reach. In fact, this more centralized structure in conjunction with management layers is essential to both reaching a plurality of nodes and creating a stable adopted community in the long time horizon. Further, we show that the selection of seed nodes affects the final stability of the adopted community, and while the mo

SUBMITTER: Doyle C 

PROVIDER: S-EPMC8189515 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature