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2025
Holistic approach to analysing debates on ecological sustainability over time on X
EPJ Data Science
2025
Nestedness in a fish-parasite ecological network in the Gulf of California: a potential buffer against extinction
Journal for Nature Conservation
2025
Parallel k -Core Decomposition: Theory and Practice
Proceedings of the ACM on Management of Data
2025
Threatened and non-threatened bats play equivalent roles in bat-flower meta-networks at global and biogeographic realm scales
Biodiversity and Conservation
2024
Anomalous process detection for Internet of Things based on K-Core
Frontiers in Physics
2024
Understanding Complex Systems
2024
Understanding Complex Systems
2024
Prediction of collapse process and tipping points for mutualistic and competitive networks with k-core method
Chinese Physics B
2023
Attacking the Core Structure of Complex Network
IEEE Transactions on Computational Social Systems
2023
Hierarchical Cycle-Tree Packing Model for Optimal K-Core Attack
Journal of Statistical Physics
2022
Response of avian and mammal seed dispersal networks to human-induced forest edges in a sub-humid tropical forest
Journal of Tropical Ecology
2022
Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
2021
2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
2020
Interplay Between Hierarchy and Centrality in Complex Networks
IEEE Access
2020
The core decomposition of networks: theory, algorithms and applications
The VLDB Journal
2020
Core–periphery dynamics in a plant–pollinator network
Journal of Animal Ecology
2019
Contingency’s causality and structural diversity
Biology & Philosophy
2019
k-core: Theories and applications
Physics Reports
2019
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)
2019
Identifying influential spreaders based on indirect spreading in neighborhood
Physica A: Statistical Mechanics and its Applications
2018
A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks
Complexity
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