مشخصات مقاله | |
ترجمه عنوان مقاله | بازاریابی ویروسی در شبکه های اجتماعی: چشم انداز اپیدمیولوژیک |
عنوان انگلیسی مقاله | Viral marketing on social networks: An epidemiological perspective |
انتشار | مقاله سال ۲۰۱۹ |
تعداد صفحات مقاله انگلیسی | ۱۷ صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
۲٫۷۹۵ در سال ۲۰۱۸ |
شاخص H_index | ۱۴۱ در سال ۲۰۱۹ |
شاخص SJR | ۰٫۶۹۹ در سال ۲۰۱۸ |
شناسه ISSN | ۰۳۷۸-۴۳۷۱ |
شاخص Quartile (چارک) | Q2 در سال ۲۰۱۸ |
مدل مفهومی | دارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مدیریت |
گرایش های مرتبط | بازاریابی، مدیریت فناوری اطلاعات |
نوع ارائه مقاله |
ژورنال |
مجله | Physica A: مکانیک آماری و کاربردهای آن – Physica A: Statistical Mechanics and its Applications |
دانشگاه | Indian Institute of Technology Roorkee, Roorkee, Uttarakhand-247667 India |
کلمات کلیدی | بازاریابی ویروسی، مدل اپیدمیولوژیک، Bistability، تجزیه و تحلیل میانگین میدانی، Graph-theoretical treatment، شبکه های اجتماعی آنلاین |
کلمات کلیدی انگلیسی | Viral marketing، Epidemiological model، Bistability، Mean-field analysis، Graph-theoretical treatment، Online social networks |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.physa.2019.03.008 |
کد محصول | E12613 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract
۱- Introduction ۲- Proposed model and mean-field analysis ۳- Graph-theoretical analysis ۴- Numerical results ۵- Conclusion References |
بخشی از متن مقاله: |
Abstract Omnipresent online social media nowadays has a constantly growing influence on business, politics, and society. Understanding these newer mechanisms of information diffusion is very important for deciding campaign policies. Due to free interaction among a large number of members, information diffusion on social media has various characteristics similar to an epidemic. In this paper, we propose and analyze a mathematical model to understand the phenomena of digital marketing with an epidemiological approach considering some realistic interactions in a social network. We apply mean-field approach as well as network analysis to investigate the phenomenon for both homogeneous and heterogeneous models, and study the diffusion dynamics as well as equilibrium states for both the cases. We explore the parameter space and design strategies to run an advertisement campaign with substantial efficiency. Moreover, we observe the phenomena of bistability, following which we estimate the necessary conditions to make a campaign more sustainable while ensuring its viral spread. Introduction In this age of the Internet, the importance of social networks to spread a message, opinion or campaign is undeniable [1, 2, 3]. Devising strategies to exploit existing social networks to make a campaign fast spreading as well as sustainable is becoming an area of growing interest among political campaigners and product marketing managers. Based on this ideas, viral marketing (VM) is being adopted as a recent marketing strategy and a way of communication with customers, which can potentially reach a large audience very fast [4, 5, 6]. VM is also known as Internet Word-of-mouth marketing, as it encourages people to share information (product specifications, improvements, campaigns etc.) with their friends through email or other social media, and utilizes existing social networks [7]. This prompting is sometimes done by introduction of some benefits (like, credit points, e-cash, extra discounts, cashback, promo codes etc.) to the existing customers, as a reward for sharing information in their peer network. VM campaigns have several benefits over traditional mass media campaigns, an important one being its ability to reach particular customer groups, as, in many cases, friendship networks arise from common interests [8]. These communications also have more impact and acceptability than third-party advertising among the potential customers, as it comes with an endorsement and recommendation of a friend. Woerdl [9] has also highlighted fast and exponential diffusion among the audience and voluntary transmission by sender as some of the important benefits of viral marketing. The dynamics of VM campaign spread are much similar to that of infectious disease, as they have a contagious quality, being beneficial for the existing consumers and propagating via social interaction. Prominent companies like Amazon, Google and Hotmail have succeeded with virtually no marketing, based solely on consumer-driven communications [10]. |