Consumers Team Detection Model Based on Trust for Multi-Level
المؤلفون المشاركون
Li, Xiaoming
Armoogum, Sandhya
Gao, Honghao
Xu, Guangquan
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-03
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Due to rapid advances in technology, social networks have become important platforms for daily communication, product marketing, and information dissemination.
Targeted delivery of social network advertisement can considerably improve the efficacy of the advertisement and maximize the profits from it.
In this context, managing the specific audience of a social network advertisement and achieving targeted advertisement delivery have been the ultimate goals of the social network advertising sector.
Identifying user groups with similar properties is critical to increasing targeted sales.
When both the scale of mobile social network and the coplexity of social network user behaviors grow, similar groups are hidden in user behaviors.
In order to analyze community structure with user trust relationship more appropriately in the large-scale multilevel social network environment, a novel local community detection model E-MLCD is proposed in this paper.
It is jointly based on the multilevel properties and the strength of similarity of multilevel social interaction among communities.
By studying three real-world multilevel social networks and specific QQ Zone marketing data, the model defines a new metric of community trust based on similarity.
Comparison between other state-of-the-art detection methods demonstrate E-MLCD’s ability to detect communities more effectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Xiaoming& Xu, Guangquan& Armoogum, Sandhya& Gao, Honghao. 2019. Consumers Team Detection Model Based on Trust for Multi-Level. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1193761
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Xiaoming…[et al.]. Consumers Team Detection Model Based on Trust for Multi-Level. Mobile Information Systems No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1193761
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Xiaoming& Xu, Guangquan& Armoogum, Sandhya& Gao, Honghao. Consumers Team Detection Model Based on Trust for Multi-Level. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1193761
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193761
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