<div><p>Controlling a complex network towards a desired state is of great importance in many applications. Existing works present an approximate algorithm to find the input nodes used to control partial nodes of the network. However, the input nodes obtained by this algorithm depend on the node matching order and cannot achieve optimum results. Here we present a novel algorithm to find the input nodes for target control based on preferential matching. The algorithm elaborately arranges the matching order of the nodes to reduce the size of the input node set. The results on both synthetic and real networks indicate that the proposed algorithm outperforms the previous algorithm.</p></div
How to reveal corresponding identities of an individual in different complex systems is an ongoing p...
In large directed complex networks, it may result unfeasible to successfully pinning control the who...
The control-theoretic notion of controllability captures the ability to guide a systems behavior tow...
Controlling a complex network towards a desired state is of great importance in many applications. E...
Minimum driver node sets (MDSs) play an important role in studying the structural controllability of...
Minimum driver node sets (MDSs) play an important role in studying the structural controllability of...
Controlling large natural and technological networks is an outstanding challenge. It is typically ne...
This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary t...
Complex networks emerge in diverse areas, ranging from social to biological, economic and technolo...
Abstract Background The advances in target control of complex networks not only can offer new insigh...
The control of complex networks is an emerging field yet it has already garnered interest from acros...
Controlling a complex network towards a desired state is of great importance in many applications. A...
In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., ...
Abstract — This paper studies the problem of controlling stable and symmetric complex networks, that...
Large complex dynamical graphs behave in ways that reflect their structure. There are many applicati...
How to reveal corresponding identities of an individual in different complex systems is an ongoing p...
In large directed complex networks, it may result unfeasible to successfully pinning control the who...
The control-theoretic notion of controllability captures the ability to guide a systems behavior tow...
Controlling a complex network towards a desired state is of great importance in many applications. E...
Minimum driver node sets (MDSs) play an important role in studying the structural controllability of...
Minimum driver node sets (MDSs) play an important role in studying the structural controllability of...
Controlling large natural and technological networks is an outstanding challenge. It is typically ne...
This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary t...
Complex networks emerge in diverse areas, ranging from social to biological, economic and technolo...
Abstract Background The advances in target control of complex networks not only can offer new insigh...
The control of complex networks is an emerging field yet it has already garnered interest from acros...
Controlling a complex network towards a desired state is of great importance in many applications. A...
In this paper, we study the problem of controlling complex networks with unilateral controls, i.e., ...
Abstract — This paper studies the problem of controlling stable and symmetric complex networks, that...
Large complex dynamical graphs behave in ways that reflect their structure. There are many applicati...
How to reveal corresponding identities of an individual in different complex systems is an ongoing p...
In large directed complex networks, it may result unfeasible to successfully pinning control the who...
The control-theoretic notion of controllability captures the ability to guide a systems behavior tow...