Jan 2, 2020 · An easy introduction to social network centrality measures. Learn more about degree, betweenness, closeness, eigencentrality and PageRank centrality.

Thus, PageRank is now regularly used in bibliometrics, social and information network analysis, and for link prediction and recommendation. It is used for systems analysis of road networks, …

Jan 14, 2020 · If you want to uncover the most influential, well-connected or important individuals in a network, you should turn to social network analysis centrality measures. These graph …

Nov 13, 2019 · In this article, we propose a novel framework, motif-based PageRank (MPR), to incorporate higher-order relations into the conventional PageRank computation. Motifs are …

Apr 25, 2018 · PageRank has been widely used to measure the authority or the influence of a user in social networks. However, conventional PageRank only makes use of edge-based …

Dec 26, 2019 · We use motifs to capture higher-order relations between nodes in a network and introduce two methods, one linear and one non-linear, to combine PageRank with higher-order …

Feb 7, 2022 · Here we study two well-known algorithms, namely PageRank and Who-to-Follow (WTF), and show to what extent their ranks produce inequality and inequity when applied to …

This paper improves the traditional PageRank algorithm, introduces some structural indicators of nodes in complex networks, and designs a key node identification system for social networking …

Dec 25, 2015 · In this paper, we propose a novel Temporal PageRank algorithm on social networks. Three temporal factors (built-up time-length, frequency, and similarity) are used to …

Feb 2, 2018 · We conduct extensive experiments in three real-world networks, i.e., DBLP, Epinions, and Ciao, to show that MPR can significantly improve the effectiveness of PageRank …