Recent Advances in Social Data and Artificial Intelligence 2019

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centrality metric; graph visualisation; visual analytics; data processing; social network; stock market; community detection; complex networks; Hadoop; modularity increment; geometric analysis; lidar scanning signal; micro-distortion; detection technology; TCD1209DG; lossless signal transmission; person re-identification; multiple granularity features; Siamese Multiple Granularity Network; multi-channel weighted fusion loss; social network; temporal links prediction; gravity model; multilayer network; multilayer network; community detection; label propagation algorithm; H-index; automatic speech recognition; speech corpus; text corpus; data acquisition; multi-layer neural network; natural language processing; markov switching; breakpoint test; crude oil price; structural change; artificial intelligence; ice-snow tourism; sustainable development; Python; text mining; pancreatic cancer; twin support vector machine; linear kernel; polynomial kernel; RBF kernel; cryptography; RSA cryptosystem; RSA cryptanalysis; partial key exposure attack; social network simulation; ABMS; Spark; two-tier partition algorithm; visual style; context-aware; preference analysis; fashion recommendation; Facebook advertising post; social media marketing; text mining; recommendation system; topic model; post engagement; artificial intelligence; blockchain; client/server; electronic health records; health information management; privacy; security; innovation; business; machine learning; decision tree; predictive analytics; social data science; contingencies; asymmetry; tele-education; digitalization; ICT infrastructure; digital teacher training; replace face-to-face education; telemedicine; technology acceptance; robust partial least squares path modeling; data-mining techniques; data-discretization methods; feature-selection methods; industry data applications; advanced multicomponential discretization models; social networks; behavior analysis; social behavior; social networking satisfaction; data science; DBLP platform; Twitter; deep reinforcement learning; machine learning; recommendation system; keyphrase extraction; unsupervised method; feature selection; recommendation system; weighted non-negative matrix factorization; hierarchical information; tag information; deep factorization; combinatorial optimization problem; heuristics method; nature-inspired algorithm; NP-hard problem; plant root; healthcare data; data management; digital services; cybernetics; symmetrical designing; overlapping community discovery; gravitational degree; greedy strategy; two expansions; cloud computing; color revolution operator; imperialist competitive algorithm; quality of service; service composition; service time-cost