Article in Nature's Scientific Reports: Information Diffusion Backbones in Temporal Networks by X. Zhan, A. Hanjalic and H.Wang
Progress has been made in understanding how temporal (time-evolving) network features affect the percentage of nodes reached by an information diffusion process, i.e. the prevalence of information, epidemic and opinion. In this work, we addressed the long-standing questions: which node pairs (social relations) are likely to contribute to the actual diffusion of information, i.e., appear in a diffusion trajectory? How is this likelihood related to the local temporal connection features of the node pair?
More can be found in our paper at www.nature.com/articles/s41598-019-43029-5.