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IAN

Published:2021-11-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Author:

Chen Liang-yu¹,Chen Yutong¹,Kwon Young D.²,Kang Youwen¹,Hui Pan³

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong SAR

2. University of Cambridge, United Kingdom

3. Hong Kong University of Science and Technology, Hong Kong SAR and University of Helsinki, Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487351.3488328

Reference37 articles.

1. M. Karnstedt , T. Hennessy , J. Chan , P. Basuchowdhuri , C. Hayes , and T. Strufe , " Churn in Social Networks ," 2010 , pp. 185 -- 220 . M. Karnstedt, T. Hennessy, J. Chan, P. Basuchowdhuri, C. Hayes, and T. Strufe, "Churn in Social Networks," 2010, pp. 185--220.

2. G. Dror , D. Pelleg , O. Rokhlenko , and I. Szpektor , " Churn Prediction in New Users of Yahoo! Answers," in Proceedings of the 21st International Conference on World Wide Web . ACM , 2012 , pp. 829 -- 834 . G. Dror, D. Pelleg, O. Rokhlenko, and I. Szpektor, "Churn Prediction in New Users of Yahoo! Answers," in Proceedings of the 21st International Conference on World Wide Web. ACM, 2012, pp. 829--834.

3. Predicting user activity level in social networks

4. I know you'll be back: Interpretable new user clustering and churn prediction on a mobile social application," in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery Data Mining;Yang C.;ACM,2018

5. GeoLifecycle

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