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An Efficient Algorithm to Determine the Connectivity of Complex Directed Networks

  • Zhuo Wang
  • , Yuanqing Wu*
  • , Yong Xu
  • , Renquan Lu
  • *Corresponding author for this work
  • Beijing Academy of Quantum Information Sciences
  • Guangdong University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The connectivity is an essential property of the connections between the nodes in networks. The efficient determination algorithm for the connectivity of complex directed networks is an important research direction in graph theory. Aiming at the determination problem of the strong connectivity of directed networks, we propose an improved algorithm over the Warshall algorithm, which extends the research object to complex directed networks and has only the half time complexity of that of the latter. In addition, this article also takes the lead in research on the determination algorithm for the unilateral connectivity of complex directed networks, and on this basis, we propose an algorithm to efficiently determine the unilateral connectivity. Finally, the above two algorithms are integrated into a unified and efficient algorithm with the time complexity of $\mathcal {O}({n}^{3}+4.5{n}^{2})$. This algorithm can determine not only the strong connectivity but also the unilateral connectivity of complex directed networks.

Original languageEnglish
Pages (from-to)7164-7171
Number of pages8
JournalIEEE Transactions on Cybernetics
Volume52
Issue number7
DOIs
StatePublished - 1 Jul 2022

Keywords

  • Complex directed networks
  • connectivity
  • efficient determination algorithm
  • multiagent systems

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