Ranking in evolving complex networks

@article{Liao2017RankingIE,
  title={Ranking in evolving complex networks},
  author={Hao Liao and Manuel Sebastian Mariani and Matus Medo and Yi-Cheng Zhang and Ming-Yang Zhou},
  journal={CoRR},
  year={2017},
  volume={abs/1704.08027}
}
Complex networks have emerged as a simple yet powerful framework to represent and analyze a wide range of complex systems. The problem of ranking the nodes and the edges in complex networks is critical for a broad range of real-world problems because it affects how we access online information and products, how success and talent are evaluated in human activities, and how scarce resources are allocated by companies and policymakers, among others. This calls for a deep understanding of how… CONTINUE READING
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  • Z.-M. Ren, M. S. Mariani, Y.-C. Zhang
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  • 2017
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