Publication: Temporal similarity metrics for latent network reconstruction: The role of time-lag decay
Temporal similarity metrics for latent network reconstruction: The role of time-lag decay
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Liao, H., Liu, M.-K., Mariani, M., Zhou, M., & Wu, X. (2019). Temporal similarity metrics for latent network reconstruction: The role of time-lag decay. Information Sciences, 489, 182–192. https://doi.org/10.1016/j.ins.2019.01.081
Abstract
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When investigating the spreading of a piece of information or the diffusion of an innovation, we often lack information on the underlying propagation network. Reconstructing the hidden propagation paths based on the observed diffusion process is a challenging problem which has recently attracted attention from diverse research fields. To address this reconstruction problem, based on static similarity metrics commonly used in the link prediction literature, we introduce new node-node temporal similarity metrics. The new metrics take as
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- Liao, Hao
- Liu, Ming-Kai
- Zhou, Mingyang
- Wu, Xingtong
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Citations
Liao, H., Liu, M.-K., Mariani, M., Zhou, M., & Wu, X. (2019). Temporal similarity metrics for latent network reconstruction: The role of time-lag decay. Information Sciences, 489, 182–192. https://doi.org/10.1016/j.ins.2019.01.081
