eCite Digital Repository

Context-aware influence diffusion in online social networks


Hu, Y and Bai, Q and Li, W, Context-aware influence diffusion in online social networks, PKAW 2019 Conference Proceedings, 26-27 August 2019, Cuvu, Fiji, pp. 153-162. ISSN 0302-9743 (2019) [Refereed Conference Paper]

Copyright Statement

Copyright 2019 Springer Nature Switzerland AG

DOI: doi:10.1007/978-3-030-30639-7_13


In recent years, online social network becomes an important channel for people to communicate and spread innovations. Most studies reveal that the diffusion of influence messages signifi cantly relies on the network topological structure. However, an individual context, referring to a set of beliefs towards various topics based on past experiences, impacts the influence adoption to a large extent. Moreover, the broadcasting approaches from various channels, e.g., advertisements from TV, policies deployed by a country, a piece of breaking news, famous scandals, etc., also drive the network evolutionary pattern. In this study, we model the influence diffusion in online social networks by considering individuals' contexts and compare the influence propagation patterns under different scenarios. The results show that context-aware influence diffusion turns out to be an experienced model, where beliefs formed through users' past experiences affect the adoption of influences.

Item Details

Item Type:Refereed Conference Paper
Keywords:agent-based modelling, influence propagation modelling, context awareness, influence diffusion, social network
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:138233
Year Published:2019
Deposited By:Information and Communication Technology
Deposited On:2020-03-27
Last Modified:2020-05-21

Repository Staff Only: item control page