Threshold estimation models for linear threshold-based influential user mining in social networks

• Main Authors: Talukder, Ashis, Tran, Nguyen H., Niyato, Dusit, Park, Gwan Hoon, Hong, Choong Seon, Mohammad Golam Rabiul Alam
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Engineering::Computer science and engineering; Influence Maximization; Threshold Estimation
• Online Access: https://hdl.handle.net/10356/103300; http://hdl.handle.net/10220/49965
• Institution: Nanyang Technological University

Influence Maximization (IM) is a popular social network mining mechanism that mines influential users for viral marketing in social networks. Most of the Influence Maximization techniques employ either the independent cascade (IC) or linear threshold (LT) model in the node activation process. In the...