Dr. Jian Hong Lin

Jian Hong Lin

Senior Research Associate

Email: jlin[at]ifi.uzh.ch.

Short biography

Jian-Hong Lin received his Bachelor degree in Mathematics and Applied Mathematics in 2012 and Master degree in System Analysis and Integration in 2016. Currently, He focuses on complex networks including centrality measures, temporal networks, dynamic models and topology of networks.

Research interests

Centrality measures,
Temporal networks
Dynamic models
Topology of networks

Presentations

“Lightning network: a second path towards centralisation of the Bitcoin economy” Networks 2021(Online), July 2021.

“Lightning network: a second path towards centralisation of the Bitcoin economy” The 11th International (Online) Conference on Complex Networks, May 2021.

“Locating influential nodes via dynamics-sensitive centrality” The 10th Chinese Conference on Complex Networks, Changsha, China, October 2015.

“Identifying the node spreading influence with largest k-core values”, The 10th Chinese Conference on Complex Networks, Changsha, China, October 2014.

Publications

ZORA Publication List

Publications

Tang, Li-Ying; Li, Sheng-Nan; Lin, Jian-Hong; Guo, Qiang; Liu, Jian-Guo (2016). Community structure detection based on the neighbor node degree information. International Journal of Modern Physics C, 27(04):1650046.
Guo, Lei; Lin, Jian-Hong; Guo, Qiang; Liu, Jian-Guo (2016). Identifying multiple influential spreaders in term of the distance-based coloring. Physics Letters A, 380(7-8):837-842.
Liu, Jian-Guo; Lin, Jian-Hong; Guo, Qiang; Zhou, Tao (2016). Locating influential nodes via dynamics-sensitive centrality. Scientific Reports, 6:21380.
Lin, Jian-Hong; Guo, Qiang; Dong, Wen-Zhao; Tang, Li-Ying; Liu, Jian-Guo (2014). Identifying the node spreading influence with largest k -core values. Physics Letters A, 378(45):3279-3284.

Department of Informatics Blockchain and Distributed Ledger Technologies

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Dr. Jian Hong Lin

Short biography

Research interests

Presentations

Publications

ZORA Publication List

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Publications