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Comparison between galaxy map and topic skeleton tree.

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posted on 2021-02-11, 18:54 authored by Luoyi Fu, Dongrui Lu, Qi Li, Xinbing Wang, Chenghu Zhou

In galaxy map: Node size and label size are proportional to article’s total citation count. Only the most-cited papers are labelled with titles. The node representing the pioneering work is colored in red. Other nodes are colored by their positions under the ForceAltas layout algorithm. Nodes in the same cluster take a same colour (yellow, green, blue or pink). In topic skeleton tree: Node size (except for the node representing the pioneering work) is proportional to article’s structure entropy. The size of the node that stands for the pioneering work is twice the maximum size of the other nodes. Node colour is the same as in galaxy map. Only pioneering work is labeled by its title. (a,b) Topic led by ‘Critical Power for Asymptotic Connectivity in Wireless Networks’. (a) Galaxy map. Numerous child papers, especially ‘The capacity of wireless networks’ and ‘HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks’, have outperformed the pioneering work. (b) Skeleton tree. After initial development, the topic has found two research focus. (c,d) Topic led by ‘Latent dirichlet allocation’. (c) Galaxy map. The pioneering work has a dominant influence. (d) Skeleton tree. Three research directions have derived directly from the pioneering work. (e,f) Topic led by ‘On random Graphs, I’. (e) Galaxy map. Two influential child papers, ‘On the evolution of random graphs’ and ‘The Structure and Function of Complex Networks’ seem to split the topic into two parts. (f) Skeleton tree. The pioneering work has inspired in particular one school of thought. There is no significant division in topic’s knowledge structure.

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