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[美] 罗塞尔 (Matthew A.Russell) 著 / 东南大学出版社 / 2014-10 / 平装
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挖掘社交网络(第2版 影印版)
《挖掘社交网络(第2版影印版)》中简洁而且具有操作性的书将为你展示如何回答这些甚至更多的问题,你将学到如何组合社交网络数据、分析技术,如何通过可视化帮助你找到你一直在社交世界中的内容。《挖掘社交网络(第2版影印版)》中每个独立章节介绍了在社交网络的不同领域挖掘数据的技术,这些领域包括博客和电子邮件。你所需要具备的就是一定的编程经验和学习基本的python工具的意愿。
PrefacePartⅠ.AGuidedTouroftheSociaIWebPrelude1.MiningTwitter:ExploringTrendingTopics,DiscoveringWhatPeopleAreTalkingAbout,andMore1.1.Overview1.2.WhyIsTwitterAlltheRage?1.3.ExploringTwitter'sAPI1.3.1.FundamentalTwitterTerminology1.3.2.CreatingaTwitterAPIConnection1.3.3.ExploringTrendingTopics1.3.4.SearchingforTweets1.4.Analyzingthe140Characters1.4.1.ExtractingTweetEntities1.4.2.AnalyzingTweetsandTweetEntitieswithFrequencyAnalysis1.4.3.ComputingtheLexicalDiversityofTweets1.4.4.ExaminingPatternsinRetweets1.4.5.VisualizingFrequencyDatawithHistograms1.5.ClosingRemarks1.6.RecommendedExercises1.7.OnlineResources2.MiningFacebook:AnalyzingFanPages,ExaminingFriendships,andMore2.1.Overview2.2.ExploringFacebook'sSocialGraphAPI2.2.1.UnderstandingtheSocialGraphAPI2.2.2.UnderstandingtheOpenGraphProtocol2.3.AnalyzingSocialGraphConnections2.3.1.AnalyzingFacebookPages2.3.2.ExaminingFriendships2.4.ClosingRemarks2.5.RecommendedExercises2.6.OnlLneResources3.MiningLinkedIn:FacetingJobTrtles,ClusteringColleagues,andMore3.1.Overview3.2.ExploringtheLinkedlnAPI3.2.1.MakingLinkedlnAPIRequests3.2.2.DownloadingLinkedlnConnectionsasaCSVFile3.3.CrashCourseonClusteringData3.3.1.ClusteringEnhancesUserExperiences3.3.2.NormalizingDatatoEnableAnalysis3.3.3.MeasuringSimilarity3.3.4.ClusteringAlgorithms3.4.ClosingRemarks3.5.RecommendedExerases3.6.OnlineResources4.MiningGoogleComputingDocumentSimilarity,ExtractingCollocations,andMore4.1.Overview4.2.ExploringtheGoogle+API4.2.1.MakingGoogle+APIRequests4.3.AWhiz—BangIntroductiontoTF—IDF4.3.1.TermFrequency4.3.2.InverseDocumentFrequency4.3.3.TF—IDF4.4.QueryingHumanLanguageDatawithTF—IDF4.4.1.IntroducingtheNaturalLanguageToolkit4.4.2.ApplyingTF—IDFtoHumanLanguage4.4.3.FindingSimilarDocuments4.4.4.AnalyzingBigramsinHumanLanguage4.4.5.ReflectionsonAnalyzingHumanLanguageData4.5.ClosingRemarks4.6.RecommendedExercises4.7.OnlineResources5.MiningWebPages:UsingNaturalLanguageProcessingtoUnderstandHumanLanguage,SummarizeBlogPosts,andMore.5.1.Overview5.2.Scraping,Parsing,andCrawlingtheWeb5.2.1.Breadth—FirstSearchinWebCrawling5.3.DiscoveringSemanticsbyDecodingSyntax5.3.1.NaturalLanguageProcessingIllustratedStep—by—Step5.3.2.SentenceDetectioninHumanLanguageData5.3.3.DocumentSummarization5.4.Entity—CentricAnalysis:AParadigmShift5.4.1.GistingHumanLanguageData5.5.QualityofAnalyticsforProcessingHumanLanguageData5.6.ClosingRemarks5.7.RecommendedExercises5.8.OnlineResources6.MiningMailboxes:AnalyzingWho'sTalkingtoWhomAboutWhat,HowOften,andMore6.1.Overview6.2.ObtainingandProcessingaMailCorpus6.2.1.APrimeronUnixMailboxes6.2.2.GettingtheEnronData6.2.3.ConvertingaMailCorpustoaUnixMailbox6.2.4.ConvertingUnixMailboxestoJSON6.2.5.ImportingaJSONifiedMailCorpusintoMongoDB6.2.6.ProgrammaticallyAccessingMongoDBwithPython6.3.AnalyzingtheEnronCorpus6.3.1.QueryingbyDate/TimeRange6.3.2.AnalyzingPatternsinSender/RecipientCommunications6.3.3.WritingAdvancedQueries6.3.4.SearchingEmailsbyKeywords6.4.DiscoveringandVisualizingTime—SeriesTrends6.5.AnalyzingYourOwnMailData6.5.1.AccessingYourGmailwithOAuth6.5.2.FetchingandParsingEmailMessageswithIMAP6.5.3.VisualizingPatternsinGMailwiththe"GraphYourInboxChromeExtension6.6.ClosingRemarks6.7.RecommendedExercises6.8.OnlineResources7MiningGitHub:lnspectingSoftwareCollaborationHabits,BuildingInterestGraphs,andMore7.1.Overview7.2.ExploringGitHub'sAPI7.2.1.CreatingaGitHubAPIConnection7.2.2.MakingGitHubAPIRequests7.3.ModelingDatawithPropertyGraphs7.4.AnalyzingGitHubInterestGraphs7.4.1.SeedinganInterestGraph7.4.2.ComputingGraphCentralityMeasures7.4.3.ExtendingtheInterestGraphwith"Follows"EdgesforUsers7.4.4.UsingNodesasPivotsforMoreEfflcientQueries7.4.5.VisualizingInterestGraphs7.5.ClosingRemarks7.6.RecommendedExercises7.7.OnlineResources8.MiningtheSemanticallyMarked—UpWeb:ExtractingMicroformats,lnferencingoverRDF,andMore.8.1.Overview8.2.Microformats:Easy—to—ImplementMetadata8.2.1.Geocoordinates:ACommonThreadforJustAboutAnything8.2.2.UsingRecipeDatatoImproveOnlineMatchmaking8.2.3.AccessingLinkedln's200MillionOnlineResumes8.3.FromSemanticMarkuptoSemanticWeb:ABriefInterlude8.4.TheSemanticWeb:AnEvolutionaryRevolution8.4.1.ManCannotLiveonFactsAlone8,4.2.InferencingAboutanOpenWorld8.5.ClosingRemarks8.6.RecommendedExercises8.7.OnlineResourcesPartⅡ.Twitter(ookbook9.TwitterCookbook9.1.AccessingTwitter'sAPIforDevelopmentPurposes9.2.DoingtheOAuthDancetoAccessTwitter'sAPIforProductionPurposes9.3.DiscoveringtheTrendingTopics9.4.SearchingforTweets9.5.ConstructingConvenientFunctionCalls9.6.SavingandRestoringJSONDatawithTextFiles9.7.SavingandAccessingJSONDatawithMongoDB9.8.SamplingtheTwitterFirehosewiththeStreamingAPI9.9.CollectingTime—SeriesData9.10.ExtractingTweetEntities9.11.FindingtheMostPopularTweetsinaCollectionofTweets9.12.FindingtheMostPopularTweetEntitiesinaCollectionofTweets9.13.TabulatingFrequencyAnalysis9.14.FindingUsersWhoHaveRetweetedaStatus9.15.ExtractingaRetweet'sAttribution9.16.MakingRobustTwitterRequests9.17.ResolvingUserProfileInformation9.18.ExtractingTweetEntitiesfromArbitraryText9.19.GettingAllFriendsorFollowersforaUser9.20.AnalyzingaUser'sFriendsandFollowers9.21.HarvestingaUser'sTweets9.22.CrawlingaFriendshipGraph9.23.AnalyzingTweetContent9.24.SummarizingLinkTargets9.25.AnalyzingaUser'sFavoriteTweets9.26.ClosingRemarks9.27.RecommendedExercises9.28.OnlineResourcesPartⅢ.AppendixesA.InformationAboutThisBook'sVirtualMachineExperienceB.OAuthPrimerC.PythonandIPythonNotebookTips&TricksIndex.
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开播时间:09月02日 10:30