Matches in SemOpenAlex for { <https://semopenalex.org/work/W2535849064> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2535849064 abstract "Microblogging, also known as Weibo, has currently become the prevalent social networking platform, and its function of disseminating information has been increasingly recognized and valued. One of the main approaches of information communication on Weibo is forwarding activities among users. Therefore, the key interests have focused on the microblogs that are easily recognized and forwarded. Through predicting the possibility of a micro-blog being forwarded among users, it is able to effectively improve the efficiency of information spreading on the Weibo platform. On the basis of Sina Weibo data, this paper intends to study 13 features of Sina Weibo including user and content, so as to conduct machine learning, to establish a feature analysis model, to identify key influence factors on Weibo forwarding, to study the combination of feature attributes for the first time, to explore the correlation among features, then to predict the probability of a micro-blog being forwarded by users. Meanwhile, concerning different features held by different data, different machine learning algorithms are applied in model training, in order to identify the algorithm with the highest prediction accuracy." @default.
- W2535849064 created "2016-10-28" @default.
- W2535849064 creator A5027718988 @default.
- W2535849064 date "2016-09-30" @default.
- W2535849064 modified "2023-09-24" @default.
- W2535849064 title "Prediction Based on the Acquisition of Sina Weibo Data and Users’ Forwarding Behavior" @default.
- W2535849064 cites W2026318959 @default.
- W2535849064 cites W2051322528 @default.
- W2535849064 cites W2101196063 @default.
- W2535849064 cites W2111214786 @default.
- W2535849064 cites W2146388917 @default.
- W2535849064 cites W2370782495 @default.
- W2535849064 cites W2377033437 @default.
- W2535849064 cites W2383756084 @default.
- W2535849064 cites W2188804371 @default.
- W2535849064 doi "https://doi.org/10.14257/ijunesst.2016.9.9.34" @default.
- W2535849064 hasPublicationYear "2016" @default.
- W2535849064 type Work @default.
- W2535849064 sameAs 2535849064 @default.
- W2535849064 citedByCount "0" @default.
- W2535849064 crossrefType "journal-article" @default.
- W2535849064 hasAuthorship W2535849064A5027718988 @default.
- W2535849064 hasConcept C101780184 @default.
- W2535849064 hasConcept C119857082 @default.
- W2535849064 hasConcept C124101348 @default.
- W2535849064 hasConcept C136764020 @default.
- W2535849064 hasConcept C138885662 @default.
- W2535849064 hasConcept C143275388 @default.
- W2535849064 hasConcept C154945302 @default.
- W2535849064 hasConcept C26517878 @default.
- W2535849064 hasConcept C2776401178 @default.
- W2535849064 hasConcept C38652104 @default.
- W2535849064 hasConcept C41008148 @default.
- W2535849064 hasConcept C41895202 @default.
- W2535849064 hasConcept C518677369 @default.
- W2535849064 hasConcept C76155785 @default.
- W2535849064 hasConceptScore W2535849064C101780184 @default.
- W2535849064 hasConceptScore W2535849064C119857082 @default.
- W2535849064 hasConceptScore W2535849064C124101348 @default.
- W2535849064 hasConceptScore W2535849064C136764020 @default.
- W2535849064 hasConceptScore W2535849064C138885662 @default.
- W2535849064 hasConceptScore W2535849064C143275388 @default.
- W2535849064 hasConceptScore W2535849064C154945302 @default.
- W2535849064 hasConceptScore W2535849064C26517878 @default.
- W2535849064 hasConceptScore W2535849064C2776401178 @default.
- W2535849064 hasConceptScore W2535849064C38652104 @default.
- W2535849064 hasConceptScore W2535849064C41008148 @default.
- W2535849064 hasConceptScore W2535849064C41895202 @default.
- W2535849064 hasConceptScore W2535849064C518677369 @default.
- W2535849064 hasConceptScore W2535849064C76155785 @default.
- W2535849064 hasLocation W25358490641 @default.
- W2535849064 hasOpenAccess W2535849064 @default.
- W2535849064 hasPrimaryLocation W25358490641 @default.
- W2535849064 hasRelatedWork W1492722474 @default.
- W2535849064 hasRelatedWork W1979425796 @default.
- W2535849064 hasRelatedWork W1993353626 @default.
- W2535849064 hasRelatedWork W2034873377 @default.
- W2535849064 hasRelatedWork W2039081202 @default.
- W2535849064 hasRelatedWork W2040806828 @default.
- W2535849064 hasRelatedWork W2064249829 @default.
- W2535849064 hasRelatedWork W2079040974 @default.
- W2535849064 hasRelatedWork W2120116197 @default.
- W2535849064 hasRelatedWork W2142869398 @default.
- W2535849064 hasRelatedWork W2187898940 @default.
- W2535849064 hasRelatedWork W2244012703 @default.
- W2535849064 hasRelatedWork W2468649756 @default.
- W2535849064 hasRelatedWork W2480626164 @default.
- W2535849064 hasRelatedWork W2487757304 @default.
- W2535849064 hasRelatedWork W2521066557 @default.
- W2535849064 hasRelatedWork W2548541502 @default.
- W2535849064 hasRelatedWork W2604541825 @default.
- W2535849064 hasRelatedWork W2623358004 @default.
- W2535849064 hasRelatedWork W3194585359 @default.
- W2535849064 isParatext "false" @default.
- W2535849064 isRetracted "false" @default.
- W2535849064 magId "2535849064" @default.
- W2535849064 workType "article" @default.