File(s) under permanent embargo
Context-aware influence diffusion in online social networks
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.
History
Publication title
PKAW 2019 Conference ProceedingsEditors
K Ohara and Q BaiPagination
153-162ISSN
0302-9743Department/School
School of Information and Communication TechnologyPublisher
Springer NaturePlace of publication
SwitzerlandEvent title
2019 Pacific Rim Knowledge Acquisition Workshop (PKAW 2019)Event Venue
Cuvu, FijiDate of Event (Start Date)
2019-08-26Date of Event (End Date)
2019-08-27Rights statement
Copyright 2019 Springer Nature Switzerland AGRepository Status
- Restricted