Robust influence maximization

Robust influence maximization

Influence Maximization is the problem of finding a fixed size set of nodes, which will maximize the expected number of influenced nodes in a social network. The number of influenced nodes is dependent on the influence strength of edges that can be very noisy. The noise in the influence strengths can...

Full description

Saved in:
Bibliographic Details
Main Authors: LOWALEKAR, Meghna, Pradeep VARAKANTHAM, Akshat KUMAR
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Influence maximization
Regret
Column Generation
Optimization
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3602
https://ink.library.smu.edu.sg/context/sis_research/article/4603/viewcontent/robust_influence_maximization.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3602
https://ink.library.smu.edu.sg/context/sis_research/article/4603/viewcontent/robust_influence_maximization.pdf

Similar Items