Article in Nature's Scientific Reports: Information Diffusion Backbones in Temporal Networks by X. Zhan, A. Hanjalic and H.Wang

News - 30 April 2019 - Communication

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?

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