林坚洪

博士，苏黎世联邦理工学院

博士后/资深研究助理，苏黎世大学

副教授，上海理工大学管理学院，2026至今

[1] Liu H., Shen D., Du C., Lu J., Guo M., Lin J. The impact of risk propagation on the robustness of R&D networks: A higher-order interaction perspective. International Journal of Production Economics, 2026, 110009.

[2] Wang Y., Cui M., Lin J., Tessone C. J. Network evolution of centrality maximizing agents: An empirical evidence of nestedness emergence.PNAS Nexus, 2025, 4: pgaf313.

[3] Meng X., Fan Y., Qiao Y., Lin J., Cai Z., Si S. Evolutionary analysis of a coupled epidemic‐voluntary vaccination behavior model with immunity waning on complex networks. Risk Analysis, 2025, 45(7): 1879–1898.

[4] Feng X., Yu M., Yan T., Lin J., Tessone C. J. Research on the time-varying network topology characteristics of cryptocurrencies on Uniswap V3. Electronics, 2025, 14(12): 2444.

[5] Wang Y., Cui M., Lin J., Tessone C. J. Centrality evolution in Bitcoin Lightning Network: An empirical application of maximize in-block nestedness allocation algorithm. Proceedings of Blockchain Kaigi 2024, 2025: 011011.

[6] Zhang Y., Yan T., Lin J., Kraner B., Tessone C. J. An improved algorithm to identify more arbitrage opportunities on decentralized exchanges. IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2024: 1–7.

[7] Sornette D., Lera S. C., Lin J., Wu K. Non-normal interactions create socio-economic bubbles. Communications Physics, 2023, 6: 261.

[8] Meng X., Lin J., Fan Y., Gao F., Fenoaltea E. M., Cai Z., Si S. Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic. Chaos, Solitons & Fractals, 2023, 169: 113294.

[9] Lin J. , Chen B. L., Yang Z., Liu J. G., Tessone C. J. Rank the spreading influence of nodes using dynamic Markov process. New Journal of Physics, 2023, 25: 023014.

[10] Lin J., Marchese E., Tessone C. J., Squartini T. The weighted Bitcoin Lightning Network. Chaos, Solitons & Fractals, 2022, 164: 112620.

[11] Chen B. L., Jiang W. X., Chen Y. X., Chen L., Wang R. J., Han S., Lin J., et al. Influence blocking maximization on networks: Models, methods and applications. Physics Reports, 2022, 976: 1–54.

[12] Lin J. , Primicerio K., Squartini T., Decker C., Tessone C. J. Lightning network: a second path towards centralisation of the Bitcoin economy. New Journal of Physics, 2020, 22: 083022.

[13] Liu H., Yang N., Yang Z., Lin J., Zhang Y. The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks. Physica A, 2020, 539: 122919.

[14] Liu H., Yang N., Yang Z., Zhang Y., Lin J. Modeling and simulations of the cascading failure of multiple interdependent R&D networks under risk propagation. Physics Letters A, 2019, 383(21): 2443–2450.

[15] Lin J., Tessone C. J., Mariani M. S. Nestedness maximization in complex networks through the fitness-complexity algorithm. Entropy, 2018, 20(10): 768.

[16] Tang L. Y., Li S. N., Lin J., Guo Q., Liu J. G. Community structure detection based on the neighbor node degree information. International Journal of Modern Physics C, 2016, 27(4): 1650046.

[17] Liu J. G., Lin J., Guo Q., Zhou T. Locating influential nodes via dynamics-sensitive centrality. Scientific Reports, 2016, 6: 21380.

[18] Guo L., Lin J., Guo Q., Liu J. G. Identifying multiple influential spreaders in term of the distance-based coloring. Physics Letters A, 2016, 380(7–8): 837–842.

[19] Lin J., Guo Q., Dong W. Z., Tang L. Y., Liu J. G. Identifying the node spreading influence with largest k-core values. Physics Letters A, 2014, 378(45): 3279–3284.