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Novel centrality measures and distance-related topological indices in network data mining

Wilczek P.

Silesian Journal of Pure and Applied Mathematics

2017

Vol. 7, iss. 1

21--63

The present work proposes two new Euclidean distance functions, six new centrality measures as well as several new entropies definable on any complex network. It is demonstrated on four spatial and two social real-world datasets that these concepts are applicable in network data mining. Also, several new topological indices are introduced and their basic computational properties are established.