Zobrazeno 1 - 3
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pro vyhledávání: '"Castrillo, Eduar"'
In this paper, we propose an improved version of an agglomerative hierarchical clustering algorithm that performs disjoint community detection in large-scale complex networks. The improved algorithm is achieved after replacing the local structural si
Externí odkaz:
http://arxiv.org/abs/1805.12238
One way of characterizing the topological and structural properties of vertices and edges in a graph is by using structural similarity measures. Measures like Cosine, Jaccard and Dice compute the similarities restricted to the immediate neighborhood
Externí odkaz:
http://arxiv.org/abs/1805.01419
Complex networks constitute the backbones of many complex systems such as social networks. Detecting the community structure in a complex network is both a challenging and a computationally expensive task. In this paper, we present the HAMUHI-CODE, a
Externí odkaz:
http://arxiv.org/abs/1707.02362