680 citations · 2.2k across the 23 of their papers we have counts for
9 papers · 1 filter
Doubly heterogeneous networks facilitate the emergence of collective cooperation
Yao Meng, Sean P. Cornelius, Yang-Yu Liu +1
There is growing recognition that the network structures arising from interactions between different entities in physical, social and biological systems fundamentally alter the evo…
Controlling network dynamics
Aming Li, Yang-Yu Liu
Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in…
A Tensor-Based Framework for Studying Eigenvector Multicentrality in Multilayer Networks
Mincheng Wu, Shibo He, Yongtao Zhang +5
Centrality is widely recognized as one of the most critical measures to provide insight in the structure and function of complex networks. While various centrality measures have be…
Bridges in Complex Networks
Ang-Kun Wu, Liang Tian, Yang-Yu Liu
A bridge in a graph is an edge whose removal disconnects the graph and increases the number of connected components. We calculate the fraction of bridges in a wide range of real-wo…
Articulation Points in Complex Networks
Liang Tian, Amir Bashan, Da-Ning Shi +1
An articulation point in a network is a node whose removal disconnects the network. Those nodes play key roles in ensuring connectivity of many real-world networks, from infrastruc…
Emergence of bimodality in controlling complex networks
Tao Jia, Yang-Yu Liu, Endre Csóka +3
Our ability to control complex systems is a fundamental challenge of contemporary science. Recently introduced tools to identify the driver nodes, nodes through which we can achiev…
Spectrum of Controlling and Observing Complex Networks
Gang Yan, Georgios Tsekenis, Baruch Barzel +3
Observing and controlling complex networks are of paramount interest for understanding complex physical, biological and technological systems. Recent studies have made important ad…
Control centrality and hierarchical structure in complex networks
Yang-Yu Liu, Jean-Jacques Slotine, Albert-László Barabási
We introduce the concept of control centrality to quantify the ability of a single node to control a directed weighted network. We calculate the distribution of control centrality…
Effect of correlations on network controllability
Márton Pósfai, Yang-Yu Liu, Jean-Jacques Slotine +1
A dynamical system is controllable if by imposing appropriate external signals on a subset of its nodes, it can be driven from any initial state to any desired state in finite time…