richer information and more complex relationships, and thus are often the most influential nodes. This paper leverages the principles of degree centrality theory to reconstruct the graph from the input sequence, then calculates the in-degree and out-degree of each node to determine the starting node...
Because we are looking for a trade-off between them to place servers at the BSs with more connections but at the same time spread them across the geography, we finally calculate the global centrality as d=dd/dl. Then, the BSs with the biggest d centrality are chosen to host an edge ...
For some graph algorithms such as computing centrality, breadth-first search, and even all-pairs shortest path, an edge-parallel approach improves graphical processing unit (GPU) throughput with better load balancing and less thread divergence on scale-free networks. The edge-parallel approach is ...
We investigate growing networks based on Barabasi and Albert's algorithm for generating scale-free networks, but with edges sensitive to overload breakdown. the load is defined through edge betweenness centrality. We focus on the situation where the average number of connections per vertex is, as ...
We can use this to reflect external link value. Nodes with more external links will have a greater probability of being the site’s entry point (the starting point of a random walk). You can also use this to measure the centrality relative to a specific node or subset of nodes. We can...
Hence, the squared distance of z = [z1, . . . , zd ] = [x1 − w1∗, . . . , xd − wd∗] under the assumption of normally dis- tributed random components follows a non-central squared χ 2 distribution χ 2(d, ζ ) with d degrees of freedom and non-centrality ...
Although there are other measures which fulfill the above measures, such as random walk betweenness [19] and eigenvector centrality [19], these measures have a higher runtime complexity and produce similar values. In some isolated cases, such as an extremely dense graph, these measures may resul...
In the first phase of the proposed solution, a centrality-based ranking method maps the VNFs to physical nodes. Meanwhile, the delay budget between consecutive VNFs is split in a second stage. Then, the shortest path through the selected nodes is found through the Lagrange relaxation-based ...
Secondly, a decision on caching of contents at network nodes in layered network architecture has been presented based on various centrality measures, which supports efficient caching. Thirdly, this work offers caching of content near the delivery path in ICN network tiers, while leveraging near path...
It can use the centrality discovery algorithm to obtain the centrality information of the combat mission under multiple attributes from several records and select the central offset or distance of multiple attributes to describe the tactical task. Firstly, the information such as time period t and lo...