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Percolation on complex networks: Theory and application
In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …
as statistical physics, computer science, biology and sociology, from the perspective of the …
Computational network biology: data, models, and applications
Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …
biological information from the network concepts are of great significance. Benefiting from …
Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
This paper presents a vision for a Disaster City Digital Twin paradigm that can:(i) enable
interdisciplinary convergence in the field of crisis informatics and information and …
interdisciplinary convergence in the field of crisis informatics and information and …
Improving sustainable performance of China's new energy industry through collaborative innovation network resilience
Q Liu, R Chen, Q Yu - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The sustainable development of the new energy industry is crucial and needs support from
collaborative innovation networks (CINs). However, CINs may face hindrances or …
collaborative innovation networks (CINs). However, CINs may face hindrances or …
Optimal resilience of modular interacting networks
Coupling between networks is widely prevalent in real systems and has dramatic effects on
their resilience and functional properties. However, current theoretical models tend to …
their resilience and functional properties. However, current theoretical models tend to …
Estimation and improvement of transportation network robustness by exploiting communities
Throughout the past years, researchers increasingly study the resilience of transportation
systems through the lens of complex networks. This model simplification has helped to …
systems through the lens of complex networks. This model simplification has helped to …
Efficient network immunization under limited knowledge
Targeted immunization of centralized nodes in large-scale networks has attracted significant
attention. However, in real-world scenarios, knowledge and observations of the network may …
attention. However, in real-world scenarios, knowledge and observations of the network may …
Method of power network critical nodes identification and robustness enhancement based on a cooperative framework
S Wang, W Lv, J Zhang, S Luan, C Chen… - Reliability Engineering & …, 2021 - Elsevier
Taking both typical complex network models and power characteristics into account, a novel
framework to evaluate the robustness of networks from different perspectives is proposed in …
framework to evaluate the robustness of networks from different perspectives is proposed in …
More than the sum of its parts: unlocking the power of network structure for understanding organization and function in microbiomes
JP Dundore-Arias, M Michalska-Smith… - Annual Review of …, 2023 - annualreviews.org
Plant and soil microbiomes are integral to the health and productivity of plants and
ecosystems, yet researchers struggle to identify microbiome characteristics important for …
ecosystems, yet researchers struggle to identify microbiome characteristics important for …
Resilience of socio-technical transportation systems: A demand-driven community detection in human mobility structures
Existing scholarship on transportation resilience analysis has primarily focused on
engineering resilience, often overlooking the intricate socio-technical dimensions. This …
engineering resilience, often overlooking the intricate socio-technical dimensions. This …