Jun 20, 2024 · Therefore, a community-enhanced framework is presented in this article to predict missing links on dynamic social networks. First, a link prediction framework ...

Feb 9, 2024 · process: Dynamic network model where nodes linearly interact between each other while receiving input noise; in discrete time, this definition is mathematically ...

Nov 30, 2023 · We propose a supervised machine learning approach to predict partnership formation between universities. We focus on successful joint R&D projects funded by ...

Jan 17, 2024 · We demonstrate the prac- tical implications of our findings by analyzing various statistical estimators in both fixed and growing dimensions. Our main examples ...

Jul 8, 2024 · A recent algorithm proposed by Newman and Girvan (6), that maximizes a so-called “Newman–Girvan” modularity function, has received particular attention because ...

May 8, 2024 · Nonparametric Link Prediction in Dynamic Networks. ICML 2012. [c29]. view ... Non-parametric Link Prediction. CoRR abs/1109.1077 (2011); 2010. [j6]. view.

Apr 30, 2024 · [34] proposed and discussed a data-driven, equation-independent ship wave manoeuvring response prediction method based on dynamic mode decomposition. It ...

Nov 10, 2023 · This is a teaching book for learning DNA. It is intended for students in all majors as well as for non-academia people who want to analyze networks. The book is ...

Dec 6, 2023 · Ceci, "LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding," Information Sciences: An International Journal, p. 606, 2022. Y.

Nov 7, 2023 · Link prediction is a task that aims to predict the existence of connection between two nodes in the networks [1]. When the data is represented in the graph, ...