Maximizing the Earned Benefit in an Incentivized Social Networking Environment-Reference-Cited by-同舟云学术

Maximizing the Earned Benefit in an Incentivized Social Networking Environment

Published:2019-01-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM India Joint International Conference on Data Science and Management of Data
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Author:

Banerjee Suman¹,Jenamani Mamata¹,Pratihar Dilip Kumar¹

Affiliation:

1. Indian Institute of Technology, Kharagpur, West Bengal, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3297001.3297051

Reference18 articles.

1. Suman Banerjee Mamata Jenamani and Dilip Kumar Pratihar. 2018. A Survey on Influence Maximization in a Social Network. arXiv preprint arXiv:1808.05502 (2018). Suman Banerjee Mamata Jenamani and Dilip Kumar Pratihar. 2018. A Survey on Influence Maximization in a Social Network. arXiv preprint arXiv:1808.05502 (2018).

2. Peter J Carrington John Scott and Stanley Wasserman. 2005. Models and methods in social network analysis. Vol. 28. Cambridge university press. Peter J Carrington John Scott and Stanley Wasserman. 2005. Models and methods in social network analysis. Vol. 28. Cambridge university press.

3. Mining the network value of customers

4. Maximizing the spread of influence through a social network

5. Jure Leskovec and Julian J Mcauley. 2012. Learning to discover social circles in ego networks. In Advances in neural information processing systems. 539--547. Jure Leskovec and Julian J Mcauley. 2012. Learning to discover social circles in ego networks. In Advances in neural information processing systems. 539--547.

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