Effects of traffic generation patterns on the robustness of complex networks

Jiajing Wu, Junwen Zeng, Zhenhao Chen, Chi Kong Tse, Bokui Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)


Cascading failures in communication networks with heterogeneous node functions are studied in this paper. In such networks, the traffic dynamics are highly dependent on the traffic generation patterns which are in turn determined by the locations of the hosts. The data-packet traffic model is applied to Barabási–Albert scale-free networks to study the cascading failures in such networks and to explore the effects of traffic generation patterns on network robustness. It is found that placing the hosts at high-degree nodes in a network can make the network more robust against both intentional attacks and random failures. It is also shown that the traffic generation pattern plays an important role in network design.
Original languageEnglish
Pages (from-to)871-877
Number of pages7
JournalPhysica A: Statistical Mechanics and its Applications
Publication statusPublished - 15 Feb 2018


  • Cascading failures
  • Complex networks
  • Robustness
  • Traffic generation patterns

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics


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