Matches in SemOpenAlex for { <https://semopenalex.org/work/W2907751750> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W2907751750 abstract "The boom of information technology enables social platforms (like Twitter) to disseminate social content (like news) in an unprecedented rate, which makes early-stage prediction for social content popularity of great practical significance. However, most existing studies assume a long-term observation before prediction and suffer from limited precision for early-stage prediction due to insufficient observation. In this paper, we take a fresh perspective, and propose a novel early pattern aware Bayesian model. The early pattern representation, which stands for early time series normalized on future popularity, can address what we call early-stage indistinctiveness challenge. Then we use an expressive evolving function to fit the time series and estimate three interpretable coefficients characterizing temporal effect of observed series on future evolution. Furthermore, Bayesian network is leveraged to model the probabilistic relations among features, early indicators and early patterns. Experiments on three real-world social platforms (Twitter, Weibo and WeChat) show that under different evaluation metrics, our model outperforms other methods in early-stage prediction and possesses low sensitivity to observation time." @default.
- W2907751750 created "2019-01-11" @default.
- W2907751750 creator A5009975159 @default.
- W2907751750 creator A5019439900 @default.
- W2907751750 creator A5049856645 @default.
- W2907751750 creator A5053431894 @default.
- W2907751750 creator A5068607867 @default.
- W2907751750 date "2018-11-01" @default.
- W2907751750 modified "2023-10-18" @default.
- W2907751750 title "EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction" @default.
- W2907751750 cites W1954020979 @default.
- W2907751750 cites W1982634635 @default.
- W2907751750 cites W2022063488 @default.
- W2907751750 cites W2044490622 @default.
- W2907751750 cites W2171923734 @default.
- W2907751750 cites W2565960693 @default.
- W2907751750 cites W2569648812 @default.
- W2907751750 cites W2740709407 @default.
- W2907751750 cites W2768073091 @default.
- W2907751750 cites W2772018618 @default.
- W2907751750 cites W3122471732 @default.
- W2907751750 doi "https://doi.org/10.1109/icdm.2018.00175" @default.
- W2907751750 hasPublicationYear "2018" @default.
- W2907751750 type Work @default.
- W2907751750 sameAs 2907751750 @default.
- W2907751750 citedByCount "3" @default.
- W2907751750 countsByYear W29077517502020 @default.
- W2907751750 countsByYear W29077517502022 @default.
- W2907751750 countsByYear W29077517502023 @default.
- W2907751750 crossrefType "proceedings-article" @default.
- W2907751750 hasAuthorship W2907751750A5009975159 @default.
- W2907751750 hasAuthorship W2907751750A5019439900 @default.
- W2907751750 hasAuthorship W2907751750A5049856645 @default.
- W2907751750 hasAuthorship W2907751750A5053431894 @default.
- W2907751750 hasAuthorship W2907751750A5068607867 @default.
- W2907751750 hasConcept C107673813 @default.
- W2907751750 hasConcept C119857082 @default.
- W2907751750 hasConcept C134306372 @default.
- W2907751750 hasConcept C154945302 @default.
- W2907751750 hasConcept C15744967 @default.
- W2907751750 hasConcept C2778152352 @default.
- W2907751750 hasConcept C2780586970 @default.
- W2907751750 hasConcept C33923547 @default.
- W2907751750 hasConcept C41008148 @default.
- W2907751750 hasConcept C77805123 @default.
- W2907751750 hasConceptScore W2907751750C107673813 @default.
- W2907751750 hasConceptScore W2907751750C119857082 @default.
- W2907751750 hasConceptScore W2907751750C134306372 @default.
- W2907751750 hasConceptScore W2907751750C154945302 @default.
- W2907751750 hasConceptScore W2907751750C15744967 @default.
- W2907751750 hasConceptScore W2907751750C2778152352 @default.
- W2907751750 hasConceptScore W2907751750C2780586970 @default.
- W2907751750 hasConceptScore W2907751750C33923547 @default.
- W2907751750 hasConceptScore W2907751750C41008148 @default.
- W2907751750 hasConceptScore W2907751750C77805123 @default.
- W2907751750 hasLocation W29077517501 @default.
- W2907751750 hasOpenAccess W2907751750 @default.
- W2907751750 hasPrimaryLocation W29077517501 @default.
- W2907751750 hasRelatedWork W1556739848 @default.
- W2907751750 hasRelatedWork W1603405739 @default.
- W2907751750 hasRelatedWork W2131972744 @default.
- W2907751750 hasRelatedWork W2327857945 @default.
- W2907751750 hasRelatedWork W2377333748 @default.
- W2907751750 hasRelatedWork W2383763763 @default.
- W2907751750 hasRelatedWork W2389846458 @default.
- W2907751750 hasRelatedWork W2961085424 @default.
- W2907751750 hasRelatedWork W2975597301 @default.
- W2907751750 hasRelatedWork W4286740842 @default.
- W2907751750 isParatext "false" @default.
- W2907751750 isRetracted "false" @default.
- W2907751750 magId "2907751750" @default.
- W2907751750 workType "article" @default.