Scalable Influence Maximization for Multiple Products in Continuous-Time 
Diffusion Networks

Du, Nan; Liang, Yingyu; Balcan, Maria-Florina; Gomez Rodriguez, Manuel; Zha, Hongyuan; Song, Le

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Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks

Du, N., Liang, Y., Balcan, M.-F., Gomez Rodriguez, M., Zha, H., & Song, L. (2017). Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. Journal of Machine Learning Research, 18: 2, pp. 1-45.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-DB91-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-DB92-4

Genre: Journal Article

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Creators:
Du, Nan¹, Author
Liang, Yingyu¹, Author
Balcan, Maria-Florina¹, Author
Gomez Rodriguez, Manuel², Author
Zha, Hongyuan¹, Author
Song, Le¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290

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Language(s): eng - English

Dates: Published Online: 2017

Publication Status: Published online

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Identifiers: BibTex Citekey: GomezRodriguezJMLR2017

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Title: Journal of Machine Learning Research

Abbreviation : JMLR

Source Genre: Journal

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Publ. Info: JMLR

Pages: - Volume / Issue: 18 Sequence Number: 2 Start / End Page: 1 - 45 Identifier: ISSN: 1533-7928