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SNA Week 3 UCINET & NetVizz &Facebook API
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UCINET `
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Download UCINET
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UCINET Introduction UCINET—UCINET is produced by Analytic Technologies. It offers a very user-friendly, reasonably priced software system for network analysis. When you first open UCINET, set the default directory to a directory of your choice, by typing in the directory name (into the space at the bottom edge of the UCINET window). Note that the original default directory is just the c:\ drive. Note that UCINET produces many types of files—and deleting any (before you are entirely done with your analysis) may make it difficult to use some of the others
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UCINET
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UCINET
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UCINET-Data Editor
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UCINET-Data Editor
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Data Format-Nodelist dl n=4, format=nodelist1 labels:
Labels embedded data Peter mary Derrick mary john derrick peter peter dl n=4, format=nodelist1 labels: derrick, peter, mary, john data 1 2 3 3 1 2 4 2
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Data Format-Nodelist2 dl nr=3, nc=4 format=nodelist2
Row labels embedded Column labels embedded Data: Benny sex_roles, stats Ginny aging, intro Sally stats, intro, aging
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Data Format-Rankedlist
dl n=4, format=rankedlist1 Labels embedded Data: Peter mary Derrick mary john derrick peter peter
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Data Format-Edgelist dl n = 4 format = edgelist1 labels:
Sanders,Skvoretz,S.Smith,T.Smith data: 1 2 1 1 3 2 2 1 1 2 3 1 2 4 3 1 1 3 2 na
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Import Nodelist 1 Data
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DL-Editor
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DL-Editor
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NetDraw
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NetDraw
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Bob 1 Carol 2 Ted 3 Alice 4
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Susan 1 Kathy 2 Tanya 3 Donna 4 Nancy 5 Manuel 6 Charles 7 Harold 8 Carol 9 Stuart 10 Fred Bob Sharon 13 Wynn 14
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UCINET-Measuerments
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Degree Centrality NetworkCentrality-->Degree Centrality
Symmetric-->Degree Asymmetric-->Indegree, Outdegree Degree Centrality
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Closeness Centrality
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Betweenness Centrality
NetworkCentrality-->Betweenness Degree Centrality Betweenness does not care about the direction Betweenness Centrality
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Structural Holes Networks Ego Networks-->Structural Holes
EffSize = size of network minus redundancy in network Efficiency = effective size / actual size of network Constraint = how much investment the ego has in the specific individual, how constraint ego is by that actor. This is an inverse measure of social capital. Hierarchy = same interpretation as constraint but more exaggerated, just constraint by 1 you have a high hierarchy. This measure is rarely used in network studies.
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NetworkCohesion-->Density NetworkEgo Networks-->Egonet Density
Network-->Egonet basic measurement
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Clustering Coefficient
NetworkCohension-->Clustering Coefficient Clustering Coefficient
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NetworkSubgroups-->Cliques
Trade Dataset Clique
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N-Cliques NetworkSubgroups-->Cliques
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Hierarchical Clustering
NetDrawAnalysis-->Subgroups-->Girvan-Newman
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NetVizz
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NetVizz Data Group Data Page Data Page Like Network Search Link Stats
Data Format GDF TAB
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Gephi
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Homework Get Data form Facebook Page or Group Graph in Guff
Export data to UCINET SNA Measurements in UCINET Degree Betweenness Density Clustering Coefficient
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FB資料擷取
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Facebook 2004年2月創立 哈佛美國大學加拿大大學英國大學 (.edu, ac.uk)
類似classmate.com 的經營模式 2006年10月對外開放 (所有合法的 )
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社群網戰
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Facebook 2008年中文版 (twitter 2011年九月) 2009 年 Facebook API
2009年全新改版-動態時報, 粉絲專頁 2009隱私權爭議 2009年中國封鎖FB 2011年茉莉花革命 2012 FB NASDAQ上市 2012 FB 推出APP Center 2013年Social Graph Search
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So, 我們想要什麼資料 https://developers.facebook.com/docs/graph-api/reference
資料來源 個人資訊 朋友列表(新API已限制) 動態時報 社團Group 粉絲專頁 相簿 Message (!!!) 類型 資訊 文章Post Like, Comment, Body Photo Check-in ….
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Facebook 資料擷取方式 史前時代 FQL-Facebook Query Language Graph API
眼力 Crawler FQL-Facebook Query Language SQL like Graph API 初始版本對於隱私完全性的開放 Graph API 2.0 App須先經過審核 好友名單的限制 好友也需同意授權 Other Tools Netvizz
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使用FQL & Graph API 先註冊為開發者以及建立App
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Graph API Explorer
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Access Token授權
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FQL https://developers.facebook.com/docs/reference/fql/
SELECT user_id FROM like WHERE object_id=' ’ SELECT message_id FROM message WHERE thread_id = ' '
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Graph API 2.0
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程式的支援 SDKs http://140.127.218.138/ting/ SDKs 資料回傳 iOS Android PHP
JavaScript Unity ……. 資料回傳 JSON格式
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FB API The good, the bad, and the ugly
容易上手 取得的資料格式容易處理 隱私 The bad 受制於FB 資料來源的限制, 資料量的限制, 存取頻繁度的限制 The ugly 失去hack FB 的能力
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相關應用與研究
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Social Insight-粉絲專頁
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Hi Buzz
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OPview
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So, 最後 Facebook 的政策改變頻繁 Facebook商業利益的考量 資料先入袋 可思考商業的應用與更有貢獻的研究 隱私權的考量
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