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SNA/presentation/sna.Rmd

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+---
+title: "Social Network Analysis"
+author:
+  name: Sebnem Er
+  affiliation: University of Cape Town | Statistical Sciences Department
+  # email: sebnem.er@uct.ac.za
+date: Lecture 1  #"`r format(Sys.time(), '%d %B %Y')`"
+output: 
+  html_document:
+    theme: flatly
+    highlight: haddock 
+    # code_folding: show
+    toc: yes
+    toc_depth: 4
+    toc_float: yes
+    keep_md: true
+---
+
+title: "R Notebook"
+output: html_notebook
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE, cache = TRUE, dpi=300)
+```
+
+This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 
+
+Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter*. 
+
+```{r}
+plot(cars)
+```
+
+Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Ctrl+Alt+I*.
+
+When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Ctrl+Shift+K* to preview the HTML file).
+
+The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.
+
+## Requirements
+
+### External libraries (requirements vary by OS)
+
+We're going to be doing all our spatial analysis and plotting today in R. Behind the scenes, R provides bindings to powerful open-source GIS libraries. These include the [Geospatial Data Abstraction Library (GDAL)](http://www.gdal.org/) and [Interface to Geometry Engine Open Source (GEOS)](https://trac.osgeo.org/geos/) API suite, as well as access to projection and transformation operations from the [PROJ.4 library](https://proj4.org/about.html). You needn't worry about all this, but for the fact that you *may* need to install some of these external libraries first. The requirements vary by OS:
+
+- **Linux:** Requirements vary by distribution. See [here](https://github.com/r-spatial/sf#linux).
+- **Mac:** You should be fine to proceed directly to the R packages installation below. An unlikely exception is if you've configured R to install packages from source; in which case see [here](https://github.com/r-spatial/sf#macos).
+- **Windows:** Same as Mac, you should be good to go unless you're installing from source. In which case, see [here](https://github.com/r-spatial/sf#windows).
+
+### R packages 
+
+- **New:** `sf`, `lwgeom`, `maps`, `mapdata`, `spData`, `tigris`, `tidycensus`, `leaflet`, `tmap`, `tmaptools`
+- **Already used:** `tidyverse`, `hrbrthemes`
+
+Note that you'll need `ggplot2` version 3.0.0 or above for the required [plotting support](https://www.tidyverse.org/articles/2018/07/ggplot2-3-0-0/) of `sf` objects. That's almost certainly the case, but now is a good time to upgrade you existing packages if you haven't done that for a while.
+
+Okay, let's install (if necessary) and load everything. As per usual, I'll also set my preferred plotting theme, but this is unnecessary.
+
+```{r, cache=F, message=F}
+if (!require("pacman")) install.packages("pacman")
+pacman::p_load(sf, tidyverse, hrbrthemes, lwgeom, rnaturalearth, maps, mapdata, spData, tigris, tidycensus, leaflet, tmap, tmaptools)
+theme_set(hrbrthemes::theme_ipsum())
+```
+
+
+### Census API key

SNA/snapresentation.Rpres

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+<style>
+.reveal h1, .reveal h2, .reveal h3 {
+  word-wrap: normal;
+  -moz-hyphens: none;
+}
+.footer {
+    color: blue;
+    background: #E8E8E8;
+    position: fixed;
+    top: 90%;
+    text-align:center;
+    width:100%;
+}
+</style>
+
+Social Network Analysis
+========================================================
+author: Sebnem Er
+date: 
+autosize: true
+
+
+Structure of the Workshop
+========================================================
+<ul>
+  <li>What is social network analysis?</li>
+    <ul>
+      <li>foundational concepts of social networks: graph theory</li>
+    </ul>
+  <li>Types of social network analysis.</li>
+    <ul>
+      <li>visualization of social networks,</li>
+      <li>descriptive analysis of social networks,</li>
+      <li>statistical network models.</li>
+    </ul>
+  <li>Network data: collection and applications in South Africa.</li>
+  <li>Packages.</li>
+</ul>
+
+- 
+
+Simple example -  Edge list with no information
+========================================================
+
+```{r}
+library(igraph)
+# example in data frame
+a=c("A","A","A","A","A","E","F")
+b=c("B","C","D","E","F","F","G")
+df = cbind(a,b)
+df = as.data.frame(df)
+df
+```
+
+Slide With Plot
+========================================================
+
+```{r, echo=FALSE}
+g = graph.edgelist(as.matrix(df),directed = FALSE)
+get.adjacency(g)
+```
+
+Slide With Plot
+========================================================
+
+```{r, echo=FALSE}
+plot(g)
+```

SNA/snapresentation.md

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+<style>
+.reveal h1, .reveal h2, .reveal h3 {
+  word-wrap: normal;
+  -moz-hyphens: none;
+}
+.footer {
+    color: blue;
+    background: #E8E8E8;
+    position: fixed;
+    top: 90%;
+    text-align:center;
+    width:100%;
+}
+</style>
+
+Social Network Analysis
+========================================================
+author: Sebnem Er
+date: 
+autosize: true
+
+
+Structure of the Workshop
+========================================================
+<ul>
+  <li>What is social network analysis?</li>
+    <ul>
+      <li>foundational concepts of social networks: graph theory</li>
+    </ul>
+  <li>Types of social network analysis.</li>
+    <ul>
+      <li>visualization of social networks,</li>
+      <li>descriptive analysis of social networks,</li>
+      <li>statistical network models.</li>
+    </ul>
+  <li>Network data: collection and applications in South Africa.</li>
+  <li>Packages.</li>
+</ul>
+
+- 
+
+Simple example -  Edge list with no information
+========================================================
+
+
+```r
+library(igraph)
+# example in data frame
+a=c("A","A","A","A","A","E","F")
+b=c("B","C","D","E","F","F","G")
+df = cbind(a,b)
+df = as.data.frame(df)
+df
+```
+
+```
+  a b
+1 A B
+2 A C
+3 A D
+4 A E
+5 A F
+6 E F
+7 F G
+```
+
+Slide With Plot
+========================================================
+
+
+```
+7 x 7 sparse Matrix of class "dgCMatrix"
+  A B C D E F G
+A . 1 1 1 1 1 .
+B 1 . . . . . .
+C 1 . . . . . .
+D 1 . . . . . .
+E 1 . . . . 1 .
+F 1 . . . 1 . 1
+G . . . . . 1 .
+```
+
+Slide With Plot
+========================================================
+
+![plot of chunk unnamed-chunk-3](snapresentation-figure/unnamed-chunk-3-1.png)

css/all.css

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+/* I am just copying the CSS file used by the lecturer Charlie Daly http://polya.computing.dcu.ie/ca165/css/ca165.css */
+
+BODY {
+	font-family: Georgia, "Times New Roman", times, serif;
+	background-color: white;
+	color: #115;
+	text-align:justify;
+	text-indent:0%;
+	margin-left: 2.5%;
+	margin-right: 2.5%
+}
+
+TT { font-family: "Courier new", "courier"; font-weight: bold; /*font-size: 1.1 em;*/ color: black;}
+SPAN.gloss { background-color: #fff; color: #1d1; } /* Background to make glossary item stand out */
+
+/* ul { list-style-image: url(http://www.foo.com/bullet.gif) }  A graphic for list items! */
+
+LI { line-height: 1.3}  /* Normal links are just far too close. */
+
+td, th { empty-cells: show }
+
+A:link { text-decoration:none; }
+A:visited { text-decoration:none; }
+A:active { text-decoration:none; }
+A:hover { text-decoration:none; background-color:#eee;}
+
+/* The following taken from 
+http://www.blooberry.com/indexdot/css/properties/generate/quotes.htm
+*/
+blockquote[lang-=fr] { quotes: "\201C" "\201D" }
+blockquote[lang-=en] { quotes: "\00AB" "\00BB" }
+blockquote:before { content: open-quote }
+blockquote:after { content: close-quote }
+blockquote { background:#dde;
+	font-style:italic;
+	padding-left:10pt; padding-right:10pt;
+}

cv

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+