On general threshold and general cascade models of social influence

Weili Wu (), Hongwei Du (), Huijuan Wang (), Lidong Wu (), Zhenhua Duan () and Cong Tian ()
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Weili Wu: Taiyuan University of Technology
Hongwei Du: Harbin Institute of Technology, Shenzhen Graduate School
Huijuan Wang: Qingdao University
Lidong Wu: University of Texas at Tyler
Zhenhua Duan: Xidian University
Cong Tian: Qingdao University

Journal of Combinatorial Optimization, 2018, vol. 35, issue 1, No 16, 209-215

Abstract: Abstract The information diffusion model is a very important factor in study of the influence maximization problem. This paper contains two notes. The first one is a simplified proof of Kempe–Kleinberg–Tadös conjecture on general threshold mode1 of social influence. The second one is on the verification of a condition in definition of general cascade model.

Keywords: Influence maximization; Social network; General threshold model; General cascade model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10878-017-0165-6

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