Conformity-Aware Influence Maximization with User Profiles

Yiqing Li, Xiaoying Gan, Luoyi Fu, Xiaohua Tian, Zhida Qin, Yanhong Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Influence maximization (IM), aiming at selecting initial users as seeds to maximize the influence spread, has become a vital problem in social network applications such as viral marketing and friend recommendation. Existing IM diffusion models ignore the behaviors that users readily conform to the actions of others in the group, which leads to incomprehensive information propagation processes and biased spread results. In this paper, we propose a group-based influence maximization (GIM) algorithm to solve the IM problem over the conformity-Aware diffusion model which utilizes different types of conformity behaviors based on user profiles and group profiling. Experimental results confirm the effectiveness and efficiency for our GIM algorithm against other baseline IM algorithms.

Original languageEnglish
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661192
DOIs
Publication statusPublished - 30 Nov 2018
Externally publishedYes
Event10th International Conference on Wireless Communications and Signal Processing, WCSP 2018 - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018

Publication series

Name2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018

Conference

Conference10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Country/TerritoryChina
CityHangzhou
Period18/10/1820/10/18

Keywords

  • Influence maximization
  • conformity
  • group profiling
  • social group
  • user profile

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