ArticleScientific reports2015
Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
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- Synergistic Integration of Local and Global Information for Critical Edge Identification.Entropy (Basel, Switzerland) · 2024Article
- Integrating local and global information to identify influential nodes in complex networks.Scientific reports · 2023Article
- Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength.Entropy (Basel, Switzerland) · 2023Article
- Identifying important nodes in complex networks based on extended degree and E-shell hierarchy decomposition.Scientific reports · 2023Article
- Integrated graph measures reveal survival likelihood for buildings in wildfire events.Scientific reports · 2022Article
- An Efficient Partition-Based Approach to Identify and Scatter Multiple Relevant Spreaders in Complex Networks.Entropy (Basel, Switzerland) · 2021Article
- Best influential spreaders identification using network global structural properties.Scientific reports · 2021Article
- Top influencers can be identified universally by combining classical centralities.Scientific reports · 2020Article
- Spatial super-spreaders and super-susceptibles in human movement networks.Scientific reports · 2020Article
- Identification of COVID-19 Spreaders Using Multiplex Networks Approach.IEEE access : practical innovations, open solutions · 2020Article
- Identification of influential spreaders in complex networks using HybridRank algorithm.Scientific reports · 2018Article
- A Novel Entropy-Based Centrality Approach for Identifying Vital Nodes in Weighted Networks.Entropy (Basel, Switzerland) · 2018Article
- Accurate ranking of influential spreaders in networks based on dynamically asymmetric link weights.Physical review. E · 2017Article
- PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow.Scientific reports · 2017Article
- Quantifying edge significance on maintaining global connectivity.Scientific reports · 2017Article
- Super-Spreader Identification Using Meta-Centrality.Scientific reports · 2016Article
- Uncovering the essential links in online commercial networks.Scientific reports · 2016Article
- Identifying a set of influential spreaders in complex networks.Scientific reports · 2016Article
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4 authors.
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Abstract
Recent study shows that the accuracy of the k-shell method in determining node coreness in a spreading process is largely impacted due to the existence of core-like group, which has a large k-shell index but a low spreading efficiency. Based on the analysis of the structure of core-like groups in real-world networks, we discover that nodes in the core-like group are mutually densely connected with very few out-leaving links from the group. By defining a measure of diffusion importance for each edge based on the number of out-leaving links of its both ends, we are able to identify redundant links in the spreading process, which have a relatively low diffusion importance but lead to form the locally densely connected core-like group. After filtering out the redundant links and applying the k-shell method to the residual network, we obtain a renewed coreness ks for each node which is a more accurate index to indicate its location importance and spreading influence in the original network. Moreover, we find that the performance of the ranking algorithms based on the renewed coreness are also greatly enhanced. Our findings help to more accurately decompose the network core structure and identify influential nodes in spreading processes.
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