An Empirical Study of Optimization for Maximizing Diffusion in Networks-Reference-Cited by-同舟云学术

An Empirical Study of Optimization for Maximizing Diffusion in Networks

Published:2010 Issue: Volume: Page:514-521
ISSN:0302-9743
Container-title:Principles and Practice of Constraint Programming – CP 2010
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Author:

Ahmadizadeh Kiyan,Dilkina Bistra,Gomes Carla P.,Sabharwal Ashish

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15396-9_41.pdf

Reference18 articles.

1. S. Ahmed. Introduction to stochastic integer programming. COSP Stochastic Programming Introduction – http://stoprog.org , 2004.

2. Anderson, R., May, R.: Infectious diseases of humans: dynamics and control. Oxford University Press, Oxford (1992)

3. Conner, R., Rudolph, D., Walters, J., James, F.: The Red-cockaded Woodpecker: surviving in a fire-maintained ecosystem. Univ. of Texas Press (2001)

4. Domingos, P., Richardson, M.: Mining the network value of customers. In: KDD, pp. 57–66 (2001), ISBN 1-58113-391-X

5. US Fish and Wildlife Service. Red-cockaded woodpecker recovery plan (2003)

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