Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/708
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dc.contributor.authorWang, Zhi. ;en_US
dc.contributor.authorZhu, Wenwu. ;en_US
dc.contributor.authorYang, Shiqiang. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:09Z-
dc.date.available2020-05-17T08:21:09Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811027741 ;en_US
dc.identifier.isbn9789811027734 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/708-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionPrinted edition: ; 9789811027734. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;en_US
dc.description.statementofresponsibilityby Zhi Wang, Wenwu Zhu, Shiqiang Yang.en_US
dc.description.tableofcontentsIntroduction -- Social Media Big Data -- Social Propagation and Social Popularity -- Social Media Content Delivery -- Conclusion and Future Research Directions. ;en_US
dc.format.extentXI, 109 p. 64 illus. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9789811027734.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectApplication Softwareen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleOnline Social Media Content Deliveryen_US
dc.title.alternativeA Data-Driven Approach /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9789811027734.pdf4.73 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Zhi. ;en_US
dc.contributor.authorZhu, Wenwu. ;en_US
dc.contributor.authorYang, Shiqiang. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:09Z-
dc.date.available2020-05-17T08:21:09Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811027741 ;en_US
dc.identifier.isbn9789811027734 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/708-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionPrinted edition: ; 9789811027734. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;en_US
dc.description.statementofresponsibilityby Zhi Wang, Wenwu Zhu, Shiqiang Yang.en_US
dc.description.tableofcontentsIntroduction -- Social Media Big Data -- Social Propagation and Social Popularity -- Social Media Content Delivery -- Conclusion and Future Research Directions. ;en_US
dc.format.extentXI, 109 p. 64 illus. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9789811027734.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectApplication Softwareen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleOnline Social Media Content Deliveryen_US
dc.title.alternativeA Data-Driven Approach /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811027734.pdf4.73 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Zhi. ;en_US
dc.contributor.authorZhu, Wenwu. ;en_US
dc.contributor.authorYang, Shiqiang. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:09Z-
dc.date.available2020-05-17T08:21:09Z-
dc.date.issued2018en_US
dc.identifier.isbn9789811027741 ;en_US
dc.identifier.isbn9789811027734 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/708-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.descriptionPrinted edition: ; 9789811027734. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery. ;en_US
dc.description.statementofresponsibilityby Zhi Wang, Wenwu Zhu, Shiqiang Yang.en_US
dc.description.tableofcontentsIntroduction -- Social Media Big Data -- Social Propagation and Social Popularity -- Social Media Content Delivery -- Conclusion and Future Research Directions. ;en_US
dc.format.extentXI, 109 p. 64 illus. ; online resource. ;en_US
dc.publisherSpringer Singapore :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9789811027734.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectApplication Softwareen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectComputer Appl. in Social and Behavioral Sciences. ;en_US
dc.titleOnline Social Media Content Deliveryen_US
dc.title.alternativeA Data-Driven Approach /en_US
dc.typeBooken_US
dc.publisher.placeSingapore :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811027734.pdf4.73 MBAdobe PDFThumbnail
Preview File