File(s) under permanent embargo
Analyzing mediator-activity effects for trust-network evolution in social media
conference contribution
posted on 2023-05-23, 09:57 authored by Hatta, K, Kumano, M, Kimura, M, Saito, K, Ohara, K, Motoda, HWe analyze evolution of trust networks in social media sites from a perspective of mediators. To this end, we propose two stochastic models that simulate the dynamics of creating a trust link under the presence of mediators, the A-ME and A-MAE models, where the A-ME model analyzes mediator effects for trust-network evolution in terms of mediator types, and the A-MAE model, an extension of the A-ME model, analyzes mediator-activity effects for trust-network evolution.We present an efficient method of inferring the values of model parameters from an observed sequence of trust links and user activities. Using real data from Epinions, we experimentally show that the A-MAE model significantly outperforms the A-ME model for predicting trust links in the near future under the presence of mediators, and demonstrate the effectiveness of mediator-activity information for trust-network evolution. We further clarify, by using the A-ME and A-MAE models, several characteristic properties of trust-link creation probability in the Epinions data.
History
Publication title
Lecture Notes in Artificial Intelligence 8862: 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) ProceedingsVolume
LNCS 8862Editors
D-N Pham, S-B ParkPagination
297-308ISSN
0302-9743Department/School
School of Information and Communication TechnologyPublisher
Springer International PublishingPlace of publication
SwitzerlandEvent title
13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014)Event Venue
Gold Coast, AustraliaDate of Event (Start Date)
2014-12-01Date of Event (End Date)
2014-12-05Rights statement
Copyright 2014 SpringerRepository Status
- Restricted