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Open Access Journal Article

Social Network Analysis for Influencer Marketing

by Sophia Brown 1,*
1
Sophia Brown
*
Author to whom correspondence should be addressed.
MAD  2023 5(1):40; https://doi.org/10.69610/j.mad.20230512
Received: 31 March 2023 / Accepted: 20 April 2023 / Published Online: 12 May 2023
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Abstract

This paper delves into the application of social network analysis (SNA) in influencer marketing, an increasingly popular strategy for brands to reach and engage with their target audience. SNA, which involves the study of relationships among people and the patterns that emerge from these connections, offers valuable insights for marketers looking to identify and leverage influential individuals within online networks. The abstract highlights the following key aspects:

Keywords: Social Network Analysis; Influencer Marketing; Network Centrality; Brand Reputation; Viral Marketing.;
Copyright: © 2023 by Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Brown, S. (2023). Social Network Analysis for Influencer Marketing. Management Analytics and Decision, 5(1), 40. doi:10.69610/j.mad.20230512
ACS Style
Brown, S. Social Network Analysis for Influencer Marketing. Management Analytics and Decision, 2023, 5, 40. doi:10.69610/j.mad.20230512
AMA Style
Brown S. Social Network Analysis for Influencer Marketing. Management Analytics and Decision; 2023, 5(1):40. doi:10.69610/j.mad.20230512
Chicago/Turabian Style
Brown, Sophia 2023. "Social Network Analysis for Influencer Marketing" Management Analytics and Decision 5, no.1:40. doi:10.69610/j.mad.20230512

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ACS Style
Brown, S. Social Network Analysis for Influencer Marketing. Management Analytics and Decision, 2023, 5, 40. doi:10.69610/j.mad.20230512
AMA Style
Brown S. Social Network Analysis for Influencer Marketing. Management Analytics and Decision; 2023, 5(1):40. doi:10.69610/j.mad.20230512
Chicago/Turabian Style
Brown, Sophia 2023. "Social Network Analysis for Influencer Marketing" Management Analytics and Decision 5, no.1:40. doi:10.69610/j.mad.20230512
APA style
Brown, S. (2023). Social Network Analysis for Influencer Marketing. Management Analytics and Decision, 5(1), 40. doi:10.69610/j.mad.20230512

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References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Latombe, N. C., & Leskovec, J. G. (2012). A Dynamic Model of Influence in Social Networks. In Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 1-8). IEEE.
  3. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68.
  4. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51-90.
  5. Kostakopoulou, D., & Mavridou, D. (2009). Influencers in Social Networks: The Case of Twitter. In Proceedings of the 4th International Conference on Web Intelligence and Semantics (pp. 335-344). IEEE.
  6. Weng, L., Lim, E. P., & Su, Z. (2011). Predicting the Spread of News on Twitter: A Stochastic Model. In Proceedings of the 20th International Conference on World Wide Web (pp. 721-730). ACM.
  7. Bakshy, E., Golub, A., & Liben-Nowell, D. (2011). Identifying influential users in social media. In Proceedings of the 4th ACM International Conference on Web Search and Data Mining (pp. 654-663). ACM.
  8. Adami, F., & Vernuccio, R. (2013). The Impact of Online Influencers on Brand Reputation: A Risk Management Perspective. Journal of Interactive Marketing, 27(4), 205-214.
  9. Ghosh, R., & Wang, X. (2014). The Role of Influencers in Shaping Consumer Perceptions: A Risk-Benefit Analysis of Influencer Marketing. Journal of Interactive Marketing, 28(4), 203-213.
  10. Bastian, L., Heymann, S., & Jacomy, M. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. In Proceedings of the International AAAI Conference on Weblogs and Social Media (pp. 361-365). AAAI Press.