Computing the average shortest-path length (ASPL) of a large scale-free network needs much memory space and computation time. Based on the feature of scale-free network, we present a simplification algorithm by cutting the suspension points and the connected edges; the ASPL of the original network can be computed through that of the simplified network. We also present a multilevel simplification algorithm to get ASPL of the original network directly from that of the multisimplified network. Our experiment shows that these algorithms require less memory space and time in computing the ASPL of scale-free network, which makes it possible to analyze large networks that were previously impossible due to memory limitations
Abstract—Many real world networks (graphs) are observed to be ’small worlds’, i.e., the average path...
We investigate a problem of data packet transport between a pair of vertices on scale-free networks ...
In the last decade growth of social media, increased the interest of network algorithms for analyzin...
Computing the average shortest-path length of a large scale-free network needs much memory space and...
In the last few years, complex networks have become an increasingly relevant research topic due to t...
AbstractFinding shortest paths is a fundamental problem in graph theory, which has a large amount of...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
A communication network is a complex network designed to transfer information from a source to a des...
AbstractThis paper gives algorithms for network problems that work by scaling the numeric parameters...
We propose a novel mechanism to generate a family of deterministic small-world and scale-free networ...
Random scale-free networks are ultrasmall worlds. The average length of the shortest paths in networ...
Multilayer networks have been widely used to represent and analyze systems of interconnected entitie...
http://deepblue.lib.umich.edu/bitstream/2027.42/4180/5/bam9987.0001.001.pdfhttp://deepblue.lib.umich...
AbstractIn time-cost tradeoff problem, if the involved CPM super large-scale network is simplified, ...
Abstract. Many applications produce massive complex networks whose analysis would benefit from paral...
Abstract—Many real world networks (graphs) are observed to be ’small worlds’, i.e., the average path...
We investigate a problem of data packet transport between a pair of vertices on scale-free networks ...
In the last decade growth of social media, increased the interest of network algorithms for analyzin...
Computing the average shortest-path length of a large scale-free network needs much memory space and...
In the last few years, complex networks have become an increasingly relevant research topic due to t...
AbstractFinding shortest paths is a fundamental problem in graph theory, which has a large amount of...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
A communication network is a complex network designed to transfer information from a source to a des...
AbstractThis paper gives algorithms for network problems that work by scaling the numeric parameters...
We propose a novel mechanism to generate a family of deterministic small-world and scale-free networ...
Random scale-free networks are ultrasmall worlds. The average length of the shortest paths in networ...
Multilayer networks have been widely used to represent and analyze systems of interconnected entitie...
http://deepblue.lib.umich.edu/bitstream/2027.42/4180/5/bam9987.0001.001.pdfhttp://deepblue.lib.umich...
AbstractIn time-cost tradeoff problem, if the involved CPM super large-scale network is simplified, ...
Abstract. Many applications produce massive complex networks whose analysis would benefit from paral...
Abstract—Many real world networks (graphs) are observed to be ’small worlds’, i.e., the average path...
We investigate a problem of data packet transport between a pair of vertices on scale-free networks ...
In the last decade growth of social media, increased the interest of network algorithms for analyzin...