2015
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior
Hung S, Kuo T, Lin S. Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. 2015, 1-6. DOI: 10.1145/2818869.2818877.Peer-Reviewed Original ResearchNatural language processingSocial network analysisLeverage natural language processingReal-world social networksWorld social networksDiffusion predictionLearning-based frameworkDiverse information sourcesSocial network analysis techniquesSocial media dataExtract featuresUser behaviorMicroblog dataPrediction taskBig DataLanguage processingMedia dataResearch domainSocial networksInformation sourcesUsersNovel topicsHttp://mslabMicroblogFramework
2013
Unsupervised link prediction using aggregative statistics on heterogeneous social networks
Kuo T, Yan R, Huang Y, Kung P, Lin S. Unsupervised link prediction using aggregative statistics on heterogeneous social networks. 2013, 775-783. DOI: 10.1145/2487575.2487614.Peer-Reviewed Original ResearchHeterogeneous social networksSocial networksUnsupervised link predictionFactor graph modelOnline social networksAggregate statisticsLabeled dataUnsupervised frameworkUnsupervised modelInference algorithmLink predictionOpinion holdersGraph modelNetworkDBLPNDCGPlurkPrediction scenariosScenariosPrivacyFoursquareUnsupervisedTwitterAlgorithmDataset
2012
Modeling and evaluating information propagation in a microblogging social network
Li C, Kuo T, Ho C, Hong S, Lin W, Lin S. Modeling and evaluating information propagation in a microblogging social network. Social Network Analysis And Mining 2012, 3: 341-357. DOI: 10.1007/s13278-012-0082-8.Peer-Reviewed Original ResearchSocial networksInformation propagationInfluence propagation modelMicroblogging social networkOnline social networksMicroblog social networkInformation propagation behaviorOnline visualization systemMicroblogging platformInfluence propagationInfluence modelInfluence scoresVisual systemInfluence capabilityPropagation linksNetworkMicroblogEvaluation frameworkPropagation modelUsersPropagation structureProposed modelsGeographic informationInformationInformation content
2011
Assessing the Quality of Diffusion Models using Real-World Social Network Data
Kuo T, Hung S, Lin W, Lin S, Peng T, Shih C. Assessing the Quality of Diffusion Models using Real-World Social Network Data. 2011, 200-205. DOI: 10.1109/taai.2011.42.Peer-Reviewed Original ResearchIndependent Cascade ModelMicro-blog dataLinear threshold modelMicro-blogInformation propagationReal worldSocial networksIndirect schemePlurkCascade modelEvaluation frameworkIn-degreeNetwork DataSchemeCascading phenomenaFrameworkDifferent circumstancesPageRankTwitterNetworkDataFacebookDiffusion eventsModelDiffusion model
2010
StakeNet: Devise, Study and Utilize Social Networks using Stakeholder Information
Kuo T, Yeh J, Lin C, Lin S. StakeNet: Devise, Study and Utilize Social Networks using Stakeholder Information. 2010, 86-93. DOI: 10.1109/taai.2010.25.Peer-Reviewed Original Research