Reprint of: The anatomy of a large-scale hypertextual web search engine

By Sergey Brin, Lawrence Page. Comput. Networks, 2012

917 citations recorded by the source corpus.

How researchers see this paper

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Literature review on the ‘Smart Factory’ concept using bibliometric tools (2017, methodology): “The validity and usefulness of citations to uncover information is demonstrated by the success of Google Web search engine as an example, which implements an algorithm based on citations to detect resources that are both high quality and relevant to users’ information needs (Brin and Page 2012).”
Weisfeiler-Lehman Neural Machine for Link Prediction (2017, background): “Popular heuristics include: common neighbors (CN), Adamic-Adar (AA) [2], preferential attachment (PA) [15], resource allocation (RA) [8], Katz [9], PageRank [14], SimRank [16], resistance distance [11], and their numerous variants.”
Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients (2017, methodology): “We used unsupervised ensemble learning and built FIT on an adapted random walk algorithm derived from PageRank [61].”
Link Prediction Based on Graph Neural Networks (2018, background): “Examples include Katz, PageRank (PR) [15], and resistance distance (RD) [18].”
Big Data: Deep Learning for financial sentiment analysis (2018, background): “For instance, Google provides a deep neural network that can learn high-level features from unlabeled data [27, 28].”