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--- c:ma:2019:schedule [2019/11/27 15:44] – [Week13 (Nov 27, 29)] hkimscil
+++ c:ma:2019:schedule [2019/12/13 10:07] – [Week15 (Dec 11, 13)] hkimscil
@@ Line 582: / Line 582: @@
 [[:r:social network analysis tutorial]]
 [[:r:social network analysis|sna in r]]
-===== announcement  =====
+[[:sna_eg_stanford|Stanford University egs.]]
-[[:correlation]]
-[[:regression]]
-[[:multiple regression]]
-[[:partial and semipartial correlation]]
-[[:using dummy variables]]
 </WRAP>
 <WRAP half column>
+===== announcement  =====
+Quiz 2 (on Friday Dec. the 6th) covers:
+  * [[:correlation]]
+  * [[:regression]]
+  * [[:multiple regression]]
+    * [[:partial and semipartial correlation]]
+    * [[:using dummy variables]]
+  * [[:factor analysis]]
+Some R outputs will be used to ask the related concepts and ideas (the above).
 ===== Assignment =====
 </WRAP>
@@ Line 601: / Line 605: @@
 ====== Week15 (Dec 11, 13) ======
 <WRAP half column>
-Group Presentation
+Use Krackhardt's data and apply them to lab06 procedure (clustering social network data).
+Krackhardt's data can be obtained via the below.
+<code>
+library(NetData)
+library(igraph)
+data(package="NetData")
+data(kracknets, package = "NetData")
+head(krack_full_data_frame)
+</code>
 </WRAP>