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Preference aware influence maximization

Journal Article


Abstract


  • © Springer Science+Business Media Singapore 2017.With the development of social network, online marketing has become more popular and developed in an unprecedented scale. Viral marketing propagates influence through ¿word-of-mouth¿ effect. As for development of viral marketing, it is critical to select a set of influential users in the network to propagate influence as much as possible with limited resources. In this chapter, we proposed a model called Preference-based Trust Independent Cascade Model. Based on the experimental results, the Preference-based Trust Independent Cascade Model is able to obtain better results than some traditional models. Comparing with other existing methods, such as trust-only approach and random selection approach, the proposed Preference-based Trust Independent Cascade Model considers both user preference and trust connectivity.

Publication Date


  • 2017

Citation


  • Jiang, C., Li, W., Bai, Q. & Zhang, M. (2017). Preference aware influence maximization. Studies in Computational Intelligence, 670 153-164.

Scopus Eid


  • 2-s2.0-84997831555

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6485

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 153

End Page


  • 164

Volume


  • 670

Place Of Publication


  • Germany

Abstract


  • © Springer Science+Business Media Singapore 2017.With the development of social network, online marketing has become more popular and developed in an unprecedented scale. Viral marketing propagates influence through ¿word-of-mouth¿ effect. As for development of viral marketing, it is critical to select a set of influential users in the network to propagate influence as much as possible with limited resources. In this chapter, we proposed a model called Preference-based Trust Independent Cascade Model. Based on the experimental results, the Preference-based Trust Independent Cascade Model is able to obtain better results than some traditional models. Comparing with other existing methods, such as trust-only approach and random selection approach, the proposed Preference-based Trust Independent Cascade Model considers both user preference and trust connectivity.

Publication Date


  • 2017

Citation


  • Jiang, C., Li, W., Bai, Q. & Zhang, M. (2017). Preference aware influence maximization. Studies in Computational Intelligence, 670 153-164.

Scopus Eid


  • 2-s2.0-84997831555

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6485

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 153

End Page


  • 164

Volume


  • 670

Place Of Publication


  • Germany