Revisiting the stop-and-stare algorithms for influence maximization
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....
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/105713 http://hdl.handle.net/10220/49548 http://dx.doi.org/10.14778/3099622.3099623 |