Web Access Research Portal

Researcher: Motoda, H (Dr Hiroshi Motoda)

Fields of Research

Artificial intelligence
Networking and communications
Network engineering
Information security management
Information systems organisation and management
Data engineering and data science
Social and community informatics
Knowledge representation and reasoning
Artificial life and complex adaptive systems

Research Objectives

Information systems, technologies and services
Information services
Expanding knowledge in the information and computing sciences

Career Best Publications

Research Publications

A new approach for item ranking based on review scores reflecting temporal trust factor; 7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2014)
Accelerating computation of distance based centrality measures for spatial networks; 19th International Conference on Discovery Science 2016 (DS 2016)
Analyzing mediator-activity effects for trust-network evolution in social media; 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014)
Change point detection for burst analysis from an observed information diffusion sequence of tweets; Journal of Intelligent Information Systems
Change point detection for information diffusion tree; Discovery Science 18th International Conference, DS 2015
Combining activity-evaluation information with NMF for trust-link prediction in social media; 2015 IEEE International Conference on Big Data
Detecting critical links in complex network to maintain information flow/reachability; 14th Pacific Rim Conference on Artificial Intelligence (PRICAI 2016)
Efficient analysis of node influence based on SIR model over huge complex networks; IEEE International Conference on Data Science & Advanced Analytics
Efficient learning of user conformity on review score; 8th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2015)
Predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes; Fifth Asian Conference on Machine Learning 2013
Resampling-based framework for estimating node centrality of large social network; 17th International Conference on Discovery Science (DS 2014)
Resampling-based gap analysis for detecting nodes with high centrality on large social network; Advances in Knowledge Discovery and Data Mining 19th Pacific-Asia Conference, PAKDD 2015
Super mediator - A new centrality measure of node importance for information diffusion over social network; Information Sciences

Research Projects

Research Candidate Supervision