Tao Wen's Homepage
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Tao Wen |
About me
I am currently a ESRC funded Data Analytics and Society Ph.D. student in the Alliance Manchester Business School at University of Manchester, Manchester, UK, supervised by Prof. Yu-wang Chen and Associate Prof. Tahir Abbas Syed.
News
[May 2023] I am delighted to join the 2023 Enrichment Scheme at The Alan Turing Institute. Thank my supervisors for their strong support to me.
[Sep. 2022] I received Turing Exchange Fellowship to visit Prof. Renaud lab.
[May 2022] Paper has been accepted by Physical Review Letters.
[March 2022] Paper has been accepted by Proceedings of the National Academy of Sciences (PNAS).
[Oct. 2021] Paper has been accepted by IEEE Transactions on Cybernetics.
[Nov. 2019] Our project "Analysis of Fractal Characteristics of Complex Networks and Its Application" won the Special First Price in "The Challenge Cup". Thank Prof. Wen Jiang for her strong supports to me all along. [Award List]
Selected Publications
Tao Wen, Kang Hao Cheong∗, Joel Weijia Lai, Jin Ming Koh, and Eugene V. Koonin. "Extending the lifespan of multicellular organisms via periodic or stochastic intercellular competition," Physical Review Letters. vol. 128, p. 218101, 2022. [html] (The Highest Impact Letters in Physics)
Kang Hao Cheong∗†, Tao Wen†, Sean Benler, Jin Ming Koh, and Eugene V. Koonin∗. "Alternating lysis and lysogeny is a winning strategy in bacteriophages due to Parrondo's Paradox," Proceedings of the National Academy of Sciences. vol. 119, p. e2115145119, 2022. [html]
Tao Wen, Kang Hao Cheong∗, and Jinde Cao. "Gravity-based Community Vulnerability Evaluation Model in Social Networks: GBCVE," IEEE Transactions on Cybernetics. vol. 53, no. 4, pp. 2467-2479, 2023. [html]
Tao Wen, and Kang Hao Cheong∗. "The Fractal Dimension of Complex Networks: A Review," Information Fusion. vol. 73, pp. 87-102, 2021. [html] (ESI Highly Cited Paper)
Tao Wen and Yong Deng∗. "The vulnerability of communities in complex networks: An entropy approach," Reliability Engineering & System Safety. vol. 196, p. 106782, 2020. [html] (ESI Highly Cited Paper) (Grade 3 journal in ABS list)
Tao Wen and Yong Deng∗. "Identification of influencers in complex network by local information dimension," Information Sciences. vol. 512, pp. 549-562, 2020. [html] (ESI Highly Cited Paper)
Qiuya Gao, Tao Wen, and Yong Deng∗. "Information volume fractal dimension," Fractals. vol. 29, p. 2150263, 2021. [html] (ESI Hot Paper & ESI Highly Cited Paper)
Research interests
Complex network properties exploring by fractal property and entropy. Published a comprehensive review paper about this topic.
Theory: Promoted information dimension and Rényi dimension into weighted complex networks and explored complex networks' fractal and self-similarity properties.
Network Properties: Applied fractal property fuzzy theory to evaluate the vulnerability of networks; Considered the local structure property and whole structure property through Tsallis entropy to measure the complexity of networks.
Node Properties: Proposed several novel dimensions of nodes to identify influential individuals in networks to curb the spread of misinformation; Modified the classical Kullback-Leibler divergence to consider more properties in network to find the pair of similar nodes to construct recommender systems.
Community Properties: Combined the internal factors and external factors of community to measure the vulnerability of communities via the entropy-based method; Proposed the gravity-based model to capture the supportiveness between communities in social networks on a large scale.
Applications: Explored the vulnerability of maritime transportation network to improve the resistance of supply chain network; Identified vulnerable communities in social networks to mitigate the influence of public opinions.
Grope decision making based on game theory and network theory.
Collected the personal opinion of each expert by 2-order additive fuzzy measure, and identified the most important expert after constructing the expert network based on their relationships, thereby solving group decision-making problems without sufficient information.
Parrondo’s paradox phenomenon in interdisciplinary research.
Explored the economic and health cost caused by different strategies (open community & lockdown) under the epidemic of COVID, and obtained the winning result when taking alternating two losing strategies based on switching schemes.
Explored the counterintuitive phenomena in biological evolution, including (a) the evolution of bacteriophages, (b) the intercellular competition in multicellular organisms, and (c) the prey dormancy of predator-prey systems – attributed to Parrondo’s paradox.
