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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Bibliographic Details
Main Authors: Tang, Jing, Tang, Xueyan, Yuan, Junsong
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2017
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