Algebraic Algorithms for Betweenness and Percolation Centrality
نویسندگان
چکیده
منابع مشابه
Betweenness Centrality : Algorithms and Lower Bounds
One of the most fundamental problems in large scale network analysis is to determine the importance of a particular node in a network. Betweenness centrality is the most widely used metric to measure the importance of a node in a network. Currently the fastest known algorithm [5], to compute betweenness of all nodes, requires O(nm) time for unweighted graphs and O(nm + n logn) time for weighted...
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Betweenness centrality is an important index widely used in different domains such as social networks, traffic networks and the world wide web. However, even for mid-size networks that have only a few hundreds thousands vertices, it is computationally expensive to compute exact betweenness scores. Therefore in recent years, several approximate algorithms have been developed. In this paper, firs...
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Betweenness centrality of a vertex (edge) in a graph is a measure for the relative participation of the vertex (edge) in the shortest paths in the graph. Betweenness centrality is widely used in various areas such as biology, transportation, and social networks. In this paper, we study the update problem of betweenness centrality in fully dynamic graphs. The proposed update algorithm substantia...
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ژورنال
عنوان ژورنال: Journal of Graph Algorithms and Applications
سال: 2021
ISSN: 1526-1719
DOI: 10.7155/jgaa.00558