Paper Info
Title
Modelling Multiple Influences Diffusion In On-Line Social Networks
Abstract
In on-line social networks, innovations in the presence of one or more influences disseminate through the topological structure of the networks rapidly. In reality, various influences normally coexist in the same context and have subtle relations, such as supportive, contradictory and competitive relations, affecting the users' decisions of adopting any innovations. Therefore, modelling diffusion process of multiple influences is an important, yet challenging research question. By employing the agent-based modelling, in this paper, a distributed approach has been proposed to model the diffusion process of multiple influences in social networks. The proposed model has been applied in the undesirable influence minimisation problem, where the time series is taken into consideration. The experimental results show our model can be utilised to minimise the adverse impact of a certain influence by injecting other influences. Furthermore, the proposed model also sheds light on understanding, investigating and analysing multiple influences in social networks
Year
DOI
Venue
2018
10.5555/3237383.3237854
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18)
Keywords
Field
DocType
Multiple influences, agent-based modelling, influence diffusion, influence minimisation
Data science,Social network,Research question,Computer science,Dissemination,Minimisation (psychology),Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
22
Authors
4
Name
Order
Citations
PageRank
Li Weihua13511.36
Quan Bai26319.77
Minjie Zhang326727.71
Tung Doan Nguyen462.91