Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach
Influence Maximization is an extensively-studied problem that targets at selecting a set of initial seed nodes in the Online Social Networks (OSNs) to spread the influence as widely as possible. However, it remains an open challenge to design fast and accurate algorithms to find solutions in large-s...
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Main Authors: | Tang, Jing, Tang, Xueyan, Yuan, Junsong |
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Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/83550 http://hdl.handle.net/10220/42935 |
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Institution: | Nanyang Technological University |
Language: | English |
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