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Who influences the influencer - a network analytical study of an influencer's peer-based importance

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  • Jens K. Perret

Abstract

In contrast to studies focusing on determinants of influencers' relevance which are limited to mostly qualitative discussions, this study focuses on the similarity between social media influencers as relevant figures of a network and the mathematical study of social networks, i.e., the use of network statistics and centrality measures. A dataset of 255 influencers spanning a period of four years from the field of women's fashion present on the social media platform Instagram has been used to empirically determine a model of an influencer's relative importance in the network of its peers. By using regression analysis (panel and cross-sectional) as well artificial neural networks, the importance of the four main factors: followers, reach, engagement rate and posting frequency can consistently be established as well as their causal effects and the path dependency of an influencer's importance across years.

Suggested Citation

  • Jens K. Perret, 2024. "Who influences the influencer - a network analytical study of an influencer's peer-based importance," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 15(3), pages 370-392.
  • Handle: RePEc:ids:ijemre:v:15:y:2024:i:3:p:370-392
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