Altering nodes types in controlling complex networks
Xizhe Zhang, Yuyan Zhu, Yongkang Zhao

TL;DR
This paper introduces an efficient algorithm to alter the control mode of complex networks by reversing a few edges, enabling tailored control strategies for various applications.
Contribution
The study presents a novel method to switch network control modes through minimal edge reversals, enhancing control design flexibility.
Findings
Control mode can be changed by reversing few edges.
Number of driver nodes can be significantly reduced.
Algorithm performs well on synthetic and real networks.
Abstract
Controlling a complex network towards a desired state is of great importance in many applications. A network can be controlled by inputting suitable external signals into some selected nodes, which are called driver nodes. Previous works found there exist two control modes in dense networks: distributed and centralized modes. For networks with the distributed mode, most of the nodes can be act as driver nodes; and those with the centralized mode, most of the nodes never be the driver nodes. Here we present an efficient algorithm to change the control type of nodes, from input nodes to redundant nodes, which is done by reversing edges of the network. We conclude four possible cases when reversing an edge and show the control mode can be changed by reversing very few in-edges of driver nodes. We evaluate the performance of our algorithm on both synthetic and real networks. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · Neural Networks Stability and Synchronization · Complex Network Analysis Techniques
