While the global efficiency measures how easy it is to travel or exchange information concurrently between any two nodes in a network, this might be difficult to compute when networks are not embedded into space and edge weights do not encode physical distances, but instead represent flows. Here, the authors propose and analyse an efficiency measure based on the flow across least resistance pathways that can be computed without any knowledge on the system except for its weighted representation
Many real-world systems such as traffic and electrical flow are described as flows following paths o...
In this paper, we propose a network efficiency measure for congested networks, that captures demands...
Abstract: In this paper, we propose a transportation network efficiency measure that can be used to ...
Network science enables the effective analysis of real interconnected systems, characterized by a co...
Networks are known to be prone to node or link failures. A central issue in the analysis of complex ...
Graph theoretical analysis has played a key role in characterizing global features of the topology o...
We analyze the process of informational exchange through complex networks by measuring network effic...
Graph theoretical analysis has played a key role in characterizing global features of the topology o...
A network with few connections between nodes is low in global efficiency as it takes many jumps to t...
We introduce a new class of problems called network information flow which is inspired by computer n...
Ahlswede R, Cai N, Li SYR, Yeung RW. Network information flow. In: IEEE Transactions on Information...
We introduce the concept of efficiency of a network as a measure of how efficiently it exchanges inf...
Understanding how information navigates through nodes of a complex network has become an increasingl...
In this paper, we demonstrate how a new network performance/efficiency measure, which captures deman...
The large-scale structure of complex systems is intimately related to their functionality and evolut...
Many real-world systems such as traffic and electrical flow are described as flows following paths o...
In this paper, we propose a network efficiency measure for congested networks, that captures demands...
Abstract: In this paper, we propose a transportation network efficiency measure that can be used to ...
Network science enables the effective analysis of real interconnected systems, characterized by a co...
Networks are known to be prone to node or link failures. A central issue in the analysis of complex ...
Graph theoretical analysis has played a key role in characterizing global features of the topology o...
We analyze the process of informational exchange through complex networks by measuring network effic...
Graph theoretical analysis has played a key role in characterizing global features of the topology o...
A network with few connections between nodes is low in global efficiency as it takes many jumps to t...
We introduce a new class of problems called network information flow which is inspired by computer n...
Ahlswede R, Cai N, Li SYR, Yeung RW. Network information flow. In: IEEE Transactions on Information...
We introduce the concept of efficiency of a network as a measure of how efficiently it exchanges inf...
Understanding how information navigates through nodes of a complex network has become an increasingl...
In this paper, we demonstrate how a new network performance/efficiency measure, which captures deman...
The large-scale structure of complex systems is intimately related to their functionality and evolut...
Many real-world systems such as traffic and electrical flow are described as flows following paths o...
In this paper, we propose a network efficiency measure for congested networks, that captures demands...
Abstract: In this paper, we propose a transportation network efficiency measure that can be used to ...