Channel Optimization of Marketing Based on Users’ Social Network Information
المؤلف
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-21
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Marketing in the social network environment integrates current advanced internet and information technologies.
This marketing method not only broadens marketing channels and builds a network communication platform but also meets the purchase needs of customers in the entire market and shortens customer purchases.
The process is also an inevitable product of the development of the times.
However, when companies use social networks for product marketing, they usually face the impact of multiple realistic factors.
This article takes the maximization of influence as the main idea to find seed users for product information dissemination and also considers the users’ interest preferences.
The target users can influence the product, and the company should control marketing costs to obtain a larger marginal benefit.
Based on this, this paper considers factors such as the scale of information diffusion, user interest preferences, and corporate budgets, takes the influence maximization model as a multiobjective optimization problem, and proposes a multiobjective maximization of influence (MOIM) model.
To solve the NP-hard problem of maximizing influence, this paper uses Monte Carlo sampling to calculate high-influence users.
Next, a seed user selection algorithm based on NSGA-II is proposed to optimize the above three objective functions and find the optimal solution.
We use real social network data to verify the performance of models and methods.
Experiments show that the proposed model can generate appropriate seed sets and can meet different purposes of information dissemination.
Sensitivity analysis proves that our model is robust under different actual conditions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Peng, Chaolin. 2020. Channel Optimization of Marketing Based on Users’ Social Network Information. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144755
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Peng, Chaolin. Channel Optimization of Marketing Based on Users’ Social Network Information. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1144755
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Peng, Chaolin. Channel Optimization of Marketing Based on Users’ Social Network Information. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144755
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1144755
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