Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Information  /  Vol: 13 Par: 1 (2022)  /  Artículo
ARTÍCULO
TITULO

Mean Received Resources Meet Machine Learning Algorithms to Improve Link Prediction Methods

Jibouni Ayoub    
Dounia Lotfi and Ahmed Hammouch    

Resumen

The analysis of social networks has attracted a lot of attention during the last two decades. These networks are dynamic: new links appear and disappear. Link prediction is the problem of inferring links that will appear in the future from the actual state of the network. We use information from nodes and edges and calculate the similarity between users. The more users are similar, the higher the probability of their connection in the future will be. The similarity metrics play an important role in the link prediction field. Due to their simplicity and flexibility, many authors have proposed several metrics such as Jaccard, AA, and Katz and evaluated them using the area under the curve (AUC). In this paper, we propose a new parameterized method to enhance the AUC value of the link prediction metrics by combining them with the mean received resources (MRRs). Experiments show that the proposed method improves the performance of the state-of-the-art metrics. Moreover, we used machine learning algorithms to classify links and confirm the efficiency of the proposed combination.

 Artículos similares

       
 
Qi Shi, Lu Li, Jiaqi Feng, Wen Chen and Jinpei Yu    
On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run. Ho... ver más
Revista: Aerospace

 
Min-Seo Kwon and Hyun Jin Shin    
The aim of the present study was to determine the orbital reconstructive effect of customized orbital implants using three-dimensional (3D) printed templates compared with conventional manual-bending implants using computed tomography (CT)-based orbital ... ver más
Revista: Applied Sciences

 
Sola Kim, JaeJoon Hwang, Bong-Hae Cho, Yujin Kim and Jae-Yeol Lee    
This study aimed to evaluate the bone volume change at donor sites in patients who received mandibular body bone block grafts using intensity-based automatic image registration. A retrospective study was conducted with 32 patients who received mandibular... ver más
Revista: Applied Sciences

 
Ilie Onu, Daniela Matei, Dragos-Petrica Sardaru, Dan Cascaval, Ana Onu, Robert Gherghel, Ionela Lacramioara Serban, George Danut Mocanu, Daniel Andrei Iordan, Gabriel Murariu and Anca-Irina Galaction    
Knee osteoarthritis (KOA) is one of the most common public health problems which cannot be cured and ultimately leads to disability. Current management is largely limited to the treatment of the symptoms. To avoid the late stages of KOA that lead to knee... ver más
Revista: Applied Sciences

 
Chao Sun, Meiting Xue, Nailiang Zhao, Yan Zeng, Junfeng Yuan and Jilin Zhang    
With the widespread use of automatic identification systems (AISs), some ships use deceptive information or intentionally close their AISs to conceal their illegal activities or evade the supervision of maritime departments. Although radar measurements c... ver más