title: Input graph: the hidden geometry in controlling complex networks.
abstract: The ability to control a complex network towards a desired behavior relies on our understanding of the complex nature of these social and technological networks. The existence of numerous control schemes in a network promotes us to wonder: what is the underlying relationship of all possible input nodes? Here we introduce input graph, a simple geometry that reveals the complex relationship between all control schemes and input nodes. We prove that the node adjacent to an input node in the input graph will appear in another control scheme, and the connected nodes in input graph have the same type in control, which they are either all possible input nodes or not. Furthermore, we find that the giant components emerge in the input graphs of many real networks, which provides a clear topological explanation of bifurcation phenomenon emerging in dense networks and promotes us to design an efficient method to alter the node type in control. The findings provide an insight into control principles of complex networks and offer a general mechanism to design a suitable control scheme for different purposes.
authors.affiliation: School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.
authors.forename: Xizhe
authors.initials: X
authors.lastname: Zhang
authors.affiliation: College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.|IT Center, National Audit Office, Beijing 100830, China.
authors.forename: Tianyang
authors.initials: T
authors.lastname: Lv
authors.affiliation: School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Pu