• 挖掘社交网络(影印版英文版)
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挖掘社交网络(影印版英文版)

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作者[美]拉塞尔(Matthew A.Russell) 著

出版社东南大学出版社

出版时间2011-05

版次1

装帧平装

上书时间2024-01-02

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图书标准信息
  • 作者 [美]拉塞尔(Matthew A.Russell) 著
  • 出版社 东南大学出版社
  • 出版时间 2011-05
  • 版次 1
  • ISBN 9787564126865
  • 定价 78.00元
  • 装帧 平装
  • 开本 16开
  • 纸张 胶版纸
  • 页数 332页
  • 字数 551千字
  • 正文语种 英语
  • 原版书名 Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
【内容简介】
《挖掘社交网络(影印版·英文版)》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。
【作者简介】


MatthewA.Russell,DigitalReasoningSystems的工程副总裁和Zaffra的负责人,是热爱数据挖掘、开源和网络应用技术的计算机科学家。他是《Dojo:TheDefinitiveGuide》(O'Reilly出版)的作者。
【目录】
Preface
1.Introduction:HackingonTwitterData
InstallingPythonDevelopmentTools
CollectingandManipulatingTwitterData
TinkeringwithTwitter'sAPI
FrequencyAnalysisandLexicalDiversity
VisualizingTweetGraphs
Synthesis:VisualizingRetweetswithProtovis
ClosingRemarks
2.Microformats:SemanticMarkupandCommonSenseCollide
XFNandFriends
ExploringSocialConnectionswithXFN
ABreadth-FirstCrawlofXFNData
Geocoordinates:ACommonThreadforJustAboutAnything
WikipediaArticles+GoogleMaps=RoadTrip?
SlicingandDicingRecipes(fortheHealthofIt)
CollectingRestaurantReviews
Summary
3.Mailboxes:OldiesbutGoodies
mbox:TheQuickandDirtyonUnixMailboxes
mbox+CouchDB=RelaxedEmailAnalysis
BulkLoadingDocumentsintoCouchDB
SensibleSorting
Map/Reduce-InspiredFrequencyAnalysis
SortingDocumentsbyValue
cotichdb-lucene:Full-TextIndexingandMore
ThreadingTogetherConversations
LookWho'sTalking
VisualizingMail"Events"withSIMILETimeline
AnalyzingYourOwnMailData
TheGraphYour(Gmail)InboxChromeExtension
ClosingRemarks
4.Twitter:Friends,Followers,andSetwiseOperations
RESTfulandOAuth-CladdedAPIs
No,YouCan'tHaveMyPassword
ALean,MeanData-CollectingMachine
AVeryBriefRefactorInterlude
Redis:ADataStructuresServer
ElementarySetOperations
SoupingUptheMachinewithBasicFriend/FollowerMetrics
CalculatingSimilaritybyComputingCommonFriendsandFollowers
MeasuringInfluence
ConstructingFriendshipGraphs
CliqueDetectionandAnalysis
TheInfochimps"StrongLinks"API
Interactive3D.GraphVisualization
Summary
5.Twitter:TheTweet,theWholeTweet,andNothingbuttheTweet
Pen:Sword::Tweet:MachineGun(?!?)
AnalyzingTweets(OneEntityataTime)
Tapping(Tim's)Tweets
WhoDoesTimRetweetMostOften?
What'sTim'sInfluence?
HowManyofTim'sTweetsContainHashtags?
JuxtaposingLatentSocialNetworks(or#JustinBieberVersus#TeaParty)
WhatEntitiesCo-OccurMostOftenwith#JustinBieberand#TeaParty
Tweets?
OnAverage,Do#JustinBieberor#TeaPartyTweetsHaveMore
Hashtags?
WhichGetsRetweetedMoreOften:#JustinBieberor#TeaParty?
HowMuchOverlapExistsBetweentheEntitiesof#TeaPartyand
#JustinBieberTweets?
VisualizingTonsofTweets
VisualizingTweetswithTricked-OutTagClouds
VisualizingCommunityStructuresinTwitterSearchResults
ClosingRemarks
6.Linkedln:ClusteringYourProfessionalNetworkforFun(andProfit?)
MotivationforClustering
ClusteringContactsbyJobTitle
StandardizingandCountingJobTitles
CommonSimilarityMetricsforClustering
AGreedyApproachtoClustering
Hierarchicalandk-MeansClustering
FetchingExtendedProfileInformation
GeographicallyClusteringYourNetwork
MappingYourProfessionalNetworkwithGoogleEarth
MappingYourProfessionalNetworkwithDorlingCartograms
ClosingRemarks
7.GoogleBuzz:TF-IDF,CosineSimilarity,andCollocations
Buzz=Twitter+Blogs(???)
DataHackingwithNLTK
TextMiningFundamentals
AWhiz-BangIntroductiontOTF-IDF
QueryingBuzzDatawithTF-IDF
FindingSimilarDocuments
TheTheoryBehindVectorSpaceModelsandCosineSimilarity
ClusteringPostswithCosineSimilarity
VisualizingSimilaritywithGraphVisualizations
BuzzingonBigrams
HowtheCollocationSausageIsMade:ContingencyTablesandScoring
Functions
TappingintoYourGmail
AccessingGmailwithOAuth
FetchingandParsingEmailMessages
BeforeYouGoOffandTrytoBuildaSearchEngine...
ClosingRemarks
8.Blogsetal.:NaturalLanguageProcessing(andBeyond)
NLP:APareto-LikeIntroduction
SyntaxandSemantics
ABriefThoughtExercise
ATypicalNLPPipelinewithNLTK
SentenceDetectioninBlogswithNLTK
SummarizingDocuments
AnalysisofLuhn'sSummarizationAlgorithm
Entity-CentricAnalysis:ADeeperUnderstandingoftheData
QualityofAnalytics
ClosingRemarks
9.Facebook:TheAll-in-OneWonder
TappingintoYourSocialNetworkData
FromZerotoAccessTokeninUnder10Minutes
Facebook'sQueryAPIs
VisualizingFacebookData
VisualizingYourEntireSocialNetwork
VisualizingMutualFriendshipsWithinGroups
WhereHaveMyFriendsAllGone?(AData-DrivenGame)
VisualizingWallDataAsa(Rotating)TagCloud
ClosingRemarks
10.TheSemanticWeb:ACocktailDiscussion
AnEvolutionaryRevolution?
ManCannotLiveonFactsAlone
Open-WorldVersusClosed-WorldAssumptions
InferencingAboutanOpenWorldwithFuXi
Hope
Index
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