Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition
المؤلفون المشاركون
Wu, Jibing
Yu, Lianfei
Zhang, Qun
Shi, Peiteng
Liu, Lihua
Deng, Su
Huang, Hongbin
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-06
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them.
Community discovery is an effective method to extract the hidden structures in networks.
Usually, heterogeneous information networks are time-evolving, whose objects and links are dynamic and varying gradually.
In such time-evolving heterogeneous information networks, community discovery is a challenging topic and quite more difficult than that in traditional static homogeneous information networks.
In contrast to communities in traditional approaches, which only contain one type of objects and links, communities in heterogeneous information networks contain multiple types of dynamic objects and links.
Recently, some studies focus on dynamic heterogeneous information networks and achieve some satisfactory results.
However, they assume that heterogeneous information networks usually follow some simple schemas, such as bityped network and star network schema.
In this paper, we propose a multityped community discovery method for time-evolving heterogeneous information networks with general network schemas.
A tensor decomposition framework, which integrates tensor CP factorization with a temporal evolution regularization term, is designed to model the multityped communities and address their evolution.
Experimental results on both synthetic and real-world datasets demonstrate the efficiency of our framework.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Jibing& Yu, Lianfei& Zhang, Qun& Shi, Peiteng& Liu, Lihua& Deng, Su…[et al.]. 2018. Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136872
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Jibing…[et al.]. Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1136872
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Jibing& Yu, Lianfei& Zhang, Qun& Shi, Peiteng& Liu, Lihua& Deng, Su…[et al.]. Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136872
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1136872
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر