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Research Article | Open Access |

Evaluation of Consumer Network Structure for Cosmetic Brands on Twitter

Author 1: Yuzuki Kitajima Author 2: Kohei Otake Author 3: Takashi Namatame
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 2 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130206

Abstract

Since the early 2000s, the Internet has become increasingly popular for the development of information dissemination technology and as a platform for interaction. Therefore, the penetration rate of Social Networking Services (SNSs) is also increasing. Using the accounts created on SNSs, companies can disseminate information and communicate with users on SNSs for marketing purposes. Moreover, there are several influencer marketing activities that use influencers who are highly influential in their surroundings as marketing using SNSs. In this study, we aim to identify influencers on Twitter and consumer network structures for six cosmetic brands. Specifically, create a consumer network for each of the six cosmetic brands using follower data obtained from Twitter is created to identify the network structure. Furthermore, brand influencers were also identified. The consumer network of all six cosmetic brands was created to identify the influencers in the cosmetics industry. We compared the influencers of the brands with the influencers of the entire industry to examine any differences.

Keywords

How to Cite this Article

Kitajima, Y., Otake, K., & Namatame, T. (2022). Evaluation of Consumer Network Structure for Cosmetic Brands on Twitter. International Journal of Advanced Computer Science and Applications, 13(2). https://doi.org/10.14569/IJACSA.2022.0130206

Kitajima, Yuzuki, et al.. "Evaluation of Consumer Network Structure for Cosmetic Brands on Twitter." International Journal of Advanced Computer Science and Applications, vol. 13, no. 2, 2022, https://doi.org/10.14569/IJACSA.2022.0130206.

@article{Kitajima2022,
  title     = {Evaluation of Consumer Network Structure for Cosmetic Brands on Twitter},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {2},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Yuzuki Kitajima and Kohei Otake and Takashi Namatame},
  doi       = {10.14569/IJACSA.2022.0130206},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130206}
}

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