A Diffusion Mechanism for Online Advertising Service Over Social Media

Yung-Ming Li, Ya-Lin Shiu

2010

Abstract

Social media has increasingly become a popular platform for diffusing information, through the message sharing of numerous participants in a social network. Recently, companies attempt to utilize social media to expose their advertisements to appropriate customers. The success of message propagation in social media highly depends on the content relevance and closeness of social relationships. In this paper, considering the factors of user preference, network influence, and propagation capability, we propose a social diffusion mechanism to discover the appropriate and influential endorsers from the social network to deliver relevant advertisements broadly. The proposed mechanism is implemented and verified in one of the most famous micro-blogging system- Plurk. Our experimental results shows that the proposed model could efficiently enhance the advertising exposure coverage and effectiveness.

References

  1. Albadvi, A., Shahbazi, M. A hybrid recommendation technique based on product category attributes. Expert Syst. Appl.(2009).
  2. Berendt, B., Navigli, R. Finding your way through blogspace:Using semantics for crossdomain blog analysis. 2006.
  3. Delre, S. A., Jager, W., Bijmolt, T. H. A. and Janssen, M. A. Will it spread or not? The effects of social influences and network topology on innovation diffusion. Journal of Product Innovation Manageme(2010).
  4. Gilbert, E., Karahalios, K. Predicting tie strength with social media. In Proceedings of the Proceedings of the 27th international conference on Human factors in computing systems(2009) ACM.
  5. Iribarren, J. L., Moro, E. Information diffusion epidemics in social networks. Physics and Society(2007).
  6. Kaplan, A. M., Haenlein, M. Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons 59-68.
  7. Kempe, a., Kleinberg, J.,Tardos, É. Influential Nodes in a Diffusion Model for Social Networks. Springer Verlag2005.
  8. Kimura, M., Saito, K., Nakano, R., Motoda, H. Finding Influential Nodes in a Social Network from Information Diffusio. Springer US 2009.
  9. Leung, C. W.-k., Chan, S. C.-f.,Chung, F.-l. A collaborative filtering framework based on fuzzy association rules and multiple-level similarity. Knowl. Inf. Syst.(2006) 357-381.
  10. Li, Y.-M., Chen, C.-W. A synthetical approach for blog recommendation: Combining trust, social relation, and semantic analysis. Expert Systems with Applications(2009) 6536-6547.
  11. Li, Y.-M., Lien, N.-J. An endorser discovering mechanism for social advertising. In Proceedings of the Proceedings of the 11th International Conference on Electronic Commerce(2009) ACM.
  12. Stelzner, M. Social Media Marketing Industry Report. 2009.
  13. Twitter Promoted Tweets. 2010.
  14. Wen, C., Tan, B. C. Y. and Chang, K. T.-T. Advertising Effectiveness on Social Network Sites: An Investigation of Tie Strength, Endorser Expertise and Product Type on Consumer Purchase Intention. 2009.
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Paper Citation


in Harvard Style

Li Y. and Shiu Y. (2010). A Diffusion Mechanism for Online Advertising Service Over Social Media . In Proceedings of the 4th International Workshop on Architectures, Concepts and Technologies for Service Oriented Computing - Volume 1: ACT4SOC, (ICSOFT 2010) ISBN 978-989-8425-20-1, pages 42-51. DOI: 10.5220/0003049500420051


in Bibtex Style

@conference{act4soc10,
author={Yung-Ming Li and Ya-Lin Shiu},
title={A Diffusion Mechanism for Online Advertising Service Over Social Media},
booktitle={Proceedings of the 4th International Workshop on Architectures, Concepts and Technologies for Service Oriented Computing - Volume 1: ACT4SOC, (ICSOFT 2010)},
year={2010},
pages={42-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003049500420051},
isbn={978-989-8425-20-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Architectures, Concepts and Technologies for Service Oriented Computing - Volume 1: ACT4SOC, (ICSOFT 2010)
TI - A Diffusion Mechanism for Online Advertising Service Over Social Media
SN - 978-989-8425-20-1
AU - Li Y.
AU - Shiu Y.
PY - 2010
SP - 42
EP - 51
DO - 10.5220/0003049500420051