Publication: The long-term impact of ranking algorithms in growing networks
The long-term impact of ranking algorithms in growing networks
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Zhang, S., Medo, M., Lü, L., & Mariani, M. (2019). The long-term impact of ranking algorithms in growing networks. Information Sciences, 488, 257–271. https://doi.org/10.1016/j.ins.2019.03.021
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When users search online for content, they are constantly exposed to rankings. For example, web search results are presented as a ranking of relevant websites, and online bookstores often show us lists of best-selling books. While popularity-based ranking algorithms (like Google’s PageRank) have been extensively studied in previous works, we still lack a clear understanding of their potential systemic consequences. In this work, we fill this gap by introducing a new model of network growth that allows us to compare the properties of n
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- Zhang, Shilun
- Medo, Matúš
- Lü, Linyuan
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Zhang, S., Medo, M., Lü, L., & Mariani, M. (2019). The long-term impact of ranking algorithms in growing networks. Information Sciences, 488, 257–271. https://doi.org/10.1016/j.ins.2019.03.021
