Exploring the step function distribution of the threshold fraction of adopted neighbors versus minimum fraction of nodes as initial adopters to assess the cascade blocking intra-cluster density of complex real-world networks
Abstract We first propose a binary search algorithm to determine the minimum fraction of nodes in a network to be used as initial adopters ( $$f_{IA}^{\min }$$ f IA min ) for a particular threshold fraction (q) of adopted neighbors (related to the cascade capacity of the network) leading to a comple...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-12-01
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| Series: | Applied Network Science |
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| Online Access: | https://doi.org/10.1007/s41109-020-00341-8 |