Revisiting the stop-and-stare algorithms for influence maximization

• Main Authors: Huang, Keke, Wang, Sibo, Bevilacqua, Glenn, Xiao, Xiaokui, Lakshmanan, Laks V. S.
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Social Network; Engineering::Computer science and engineering; SSA-Fix
• Online Access: https://hdl.handle.net/10356/105713; http://hdl.handle.net/10220/49548; http://dx.doi.org/10.14778/3099622.3099623
• Institution: Nanyang Technological University

Influence maximization is a combinatorial optimization problem that finds important applications in viral marketing, feed recommendation, etc. Recent research has led to a number of scalable approximation algorithms for influence maximization, such as TIM+ and IMM, and more recently, SSA and D-SSA....