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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Toward Information Diffusion Model for Viral Marketing in Business

Author 1: Lulwah AlSuwaidan
Author 2: Mourad Ykhlef

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070280

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
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Abstract: Current obstacles in the study of social media marketing include dealing with massive data and real-time updates have motivated to contribute solutions that can be adopted for viral marketing. Since information diffusion and social networks are the core of viral marketing, this article aims to investigate the constellation of diffusion methods for viral marketing. Studies on diffusion methods for viral marketing have applied different computational methods, but a systematic investigation of these methods has limited. Most of the literature have focused on achieving objectives such as influence maxi-mization or community detection. Therefore, this article aims to conduct an in-depth review of works related to diffusion for viral marketing. Viral marketing has applied to business-to-consumer transactions but has seen limited adoption in business-to-business transactions. The literature review reveals a lack of new diffusion methods, especially in dynamic and large-scale networks. It also offers insights into applying various mining methods for viral marketing. It discusses some of the challenges, limitations, and future research directions of information diffusion for viral marketing. The article also introduces a viral marketing informa-tion diffusion model. The proposed model attempts to solve the dynamicity and large-scale data of social networks by adopting incremental clustering and a stochastic differential equation for business-to-business transactions.

Keywords: information diffusion; viral marketing; social media marketing; social networks

Lulwah AlSuwaidan and Mourad Ykhlef, “Toward Information Diffusion Model for Viral Marketing in Business” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070280

@article{AlSuwaidan2016,
title = {Toward Information Diffusion Model for Viral Marketing in Business},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070280},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070280},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Lulwah AlSuwaidan and Mourad Ykhlef}
}


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