دورية أكاديمية

Link Prediction Method for Directed Networks Based on Path Connection Strength

التفاصيل البيبلوغرافية
العنوان: Link Prediction Method for Directed Networks Based on Path Connection Strength
المؤلفون: ZHAO Xue-lei, JI Xin-sheng, LIU Shu-xin, LI Ying-le, LI Hai-tao
المصدر: Jisuanji kexue, Vol 49, Iss 2, Pp 216-222 (2022)
بيانات النشر: Editorial office of Computer Science, 2022.
سنة النشر: 2022
المجموعة: LCC:Computer software
LCC:Technology (General)
مصطلحات موضوعية: complex network, link prediction, directed paths, connection strength, Computer software, QA76.75-76.765, Technology (General), T1-995
الوصف: Link prediction aims to predict unknown links using available network topology information.Prediction methods based on paths perform well in undirected networks.However,paths of the same length have different node connection strength due to different type of links through the path in directed network.Traditional methods is difficult to distinguish the path heterogeneity.Given this,the difference in the strength of three types of directed links is first quantified in terms of the link weight matrix,then the connection strength of different heterogeneous classpaths between nodes is calculated and the effect of different paths under the same length path is distinguished.Finally,a directed network link prediction method based on the path connection strength is proposed by integrating the contribution of multi-order paths of different lengths.Validation of 9 real networks shows that accounting for differences in path connection strength effectively improves prediction performance under the AUC and Precision metrics.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1002-137X
Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-2-216.pdf; https://doaj.org/toc/1002-137X
DOI: 10.11896/jsjkx.210100107
URL الوصول: https://doaj.org/article/5214505af1b94a94a9c302a27d011bf6
رقم الأكسشن: edsdoj.5214505af1b94a94a9c302a27d011bf6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1002137X
DOI:10.11896/jsjkx.210100107