Abstract
The existing network connectivity discriminant algorithms have high time complexity, which could not satisfy the requirement of quick connectivity discrimination for large-scale networks, such as computer networks, communication networks and energy networks, etc. Aiming at the strong connectivity discriminant problem of directed networks, this paper extends the Warshall algorithm from simple directed networks to complex ones and gives an improved discriminant algorithm, which can reduce the time complexity of the Warshall algorithm by half. This is of great practical value to the connectivity discrimination for various large-scale complex directed networks.
This work was supported by the National Natural Science Foundation (NNSF) of China under Grant 61673041.
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Wang, CH., Wang, Z., Wu, ZD. (2019). An Improved Strong Connectivity Discriminant Algorithm for Complex Directed Networks. In: Li, QL., Wang, J., Yu, HB. (eds) Stochastic Models in Reliability, Network Security and System Safety. JHC80 2019. Communications in Computer and Information Science, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-15-0864-6_24
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DOI: https://doi.org/10.1007/978-981-15-0864-6_24
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