activity
20182025
most citedCounterexample: scale-free networked graphs with invariable diameter and density feature

20 citations · 119 across the 28 of their papers we have counts for

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Showing 2019Show all

12 papers · 1 filter

cs.SI2019★ 19 cited

Dense networks with scale-free feature

Fei Ma, Xiaomin Wang, Ping Wang +1

While previous works have shown that an overwhelming number of scale-free networks are sparse, there still exist some real-world networks including social networks, urban networks,…

math.CO2019★ 1 cited

An extremal problem: How small scale-free graph can be

Fei Ma, Ping Wang, Bing Yao

The bloom of complex network study, in particular, with respect to scale-free ones, is considerably triggering the research of scale-free graph itself. Therefore, a great number of…

math.CO2019★ 1 cited

Determining Geodesic Distance on Arbitrary-order Subdivision of Tree with Applications

Fei Ma, Xiaomin Wang, Ping Wang

The problem of how to estimate diffusion on a graph effectively is of importance both theoretically and practically. In this paper, we make use of two widely studied indices, geode…

math.CO2019★ 2 cited

Exact solutions for geodesic distance on treelike models with some constraints

Xudong Luo, Fei Ma, Wentao Xu

Geodesic distance, commonly called shortest path length, has proved useful in a great variety of disciplines. It has been playing a significant role in search engine at present and…

cs.IT2019★ 17 cited

Topological Coding and Topological Matrices Toward Network Overall Security

Bing Yao, Meimei Zhao, Xiaohui Zhang +9

A mathematical topology with matrix is a natural representation of a coding relational structure that is found in many fields of the world. Matrices are very important in computati…

math.CO2019★ 1 cited

A Method for Geodesic Distance on Subdivision of Trees with Arbitrary Orders and Their Applications

Fei Ma, Ping Wang, Xudong Luo

Geodesic distance, sometimes called shortest path length, has proven useful in a great variety of applications, such as information retrieval on networks including treelike network…