Influence Maximization Towards Target Users on Social Networks for Information Diffusion-Reference-Cited by-同舟云学术

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Influence Maximization Towards Target Users on Social Networks for Information Diffusion

Published:2017-05-27 Issue: Volume: Page:842-850
ISSN:2367-4512
Container-title:Recent Trends in Information and Communication Technology
language:
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Author:

Olanrewaju Abdus-Samad Temitope,Ahmad Rahayu,Mahmudin Massudi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59427-9_87

Reference19 articles.

1. Alsuwaidan, L.: Toward information diffusion model for viral marketing in business. Int. J. Adv. Comput. Sci. Appl. 7(2), 637–646 (2016)

2. Guille, A., Hacid, H., Favre, C.: Predicting the temporal dynamics of information diffusion in social networks. arXiv Preprint arXiv:1302.5235 (2013)

3. Kempe, D., Kleinberg, J., Eva, T.: Maximizing the spread of influence through a social network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137–146 (2003)

4. Cohen, E., Delling, D., Pajor, T., Werneck, R.F.: Sketch-based influence maximization and computation: scaling up with guarantees. In: Proceedings of the 23rd ACM International Conference on. Information and Knowledge Management (CIKM 2014), no. Ic, pp. 629–638 (2014)

5. Cheng, S., Shen, H.-W., Huang, J., Chen, W., Cheng, X.-Q.: IMRank: influence maximization via finding self-consistent ranking. In: Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 475–485 (2014)

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