activity
20142022
most citedLightning Network: a second path towards centralisation of the Bitcoin economy

70 citations · 105 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2022★ 9 cited

Rank the spreading influence of nodes using dynamic Markov process

Jian-Hong Lin, Zhao Yang, Jian-Guo Liu +2

Ranking the spreading influence of nodes is of great importance in practice and research. The key to ranking a node's spreading ability is to evaluate the fraction of susceptible n…

physics.soc-ph2021★ 25 cited

The Weighted Bitcoin Lightning Network

Jian-Hong Lin, Emiliano Marchese, Claudio J. Tessone +1

The Bitcoin Lightning Network (BLN) was launched in 2018 to scale up the number of transactions between Bitcoin owners. Although several contributions concerning the analysis of th…

physics.soc-ph2020★ 70 cited

Lightning Network: a second path towards centralisation of the Bitcoin economy

Jian-Hong Lin, Kevin Primicerio, Tiziano Squartini +2

The Bitcoin Lightning Network (BLN), a so-called "second layer" payment protocol, was launched in 2018 to scale up the number of transactions between Bitcoin owners. In this paper,…

physics.soc-ph2019

Maximum entropy approaches for the study of triadic motifs in the Mergers & Acquisitions network

Ihusan Adam, Stefano Garlaschi, Jian-Hong Lin +4

In the past years statistical physics has been successfully applied for complex networks modelling. In particular, it has been shown that the maximum entropy principle can be explo…

physics.soc-ph2015

Empirical Analysis of the Online Rating Systems

Xin-Yi Lu, Jian-Hong Lin, Qiang Guo +1

This paper is to analyze the properties of evolving bipartite networks from four aspects, the growth of networks, the degree distribution, the popularity of objects and the diversi…

cs.SI2015★ 1 cited

Locating influential nodes via dynamics-sensitive centrality

Jian-Hong Lin, Qiang Guo, Jian-Guo Liu +1

With great theoretical and practical significance, locating influential nodes of complex networks is a promising issues. In this paper, we propose a dynamics-sensitive (DS) central…

physics.soc-ph2014

A general method for identifying node spreading influence via the adjacent matrix and spreading rate

Jian-Hong Lin, Jian-Guo Liu, Qiang Guo

With great theoretical and practical significance, identifying the node spreading influence of complex network is one of the most promising domains. So far, various topology-based…