1. Use the us-senate list to get the last 200 tweets from US senators.
  2. Create a network of retweets.
  3. Get a count of nodes and edges, and get the density of the network.
  4. Create a data table of the senators, showing only their names and degree.
  5. Find communities and make a network diagram showing the communities. (You may make two diagrams, one with the communities and one without.)
us_senate <- search_tweets
us_senate <- search_tweets(geocode = "45.80,-108.55,25mi", n = 200)

Downloading [=========================================] 100%
# This creates the network with some commands from graphTweets
# The variables in the parentheses of gt_edges() are used, so in this case we're using retweets
# We're also keeping text of the tweets
us_senate_network <- bl_tweets %>% 
  gt_edges(screen_name, retweet_screen_name, text) %>% 
  gt_graph()


# This next line gets the nodes
us_senate_nodes <- as_data_frame(us_senate_network, what = "vertices")

# This adds some additional info to the nodes, so we get the names on hover
# and the size of the node is based on its degree, etc.
us_senate_nodes <- us_senate_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(us_senate_network)) %>% 
  mutate(value = degree)

# This gets the edges, similar to how we got the nodes above
us_senate_edges <- as_data_frame(us_senate_network, what = "edges")

# This puts the text of the tweet itself into the edge
# so when you hover over a line in the diagram it will show the tweet
us_senate_edges <- us_senate_edges %>% 
  mutate(title = text)

# Creates the diagram
visNetwork(us_senate_nodes, us_senate_edges, main = "Retweet network US senate Around Billings") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
us_senate_network %>% 
  vcount()
[1] 487
us_senate_network %>% 
  ecount()
[1] 453
us_senate_edges %>%
  select(from, to, text)
us_senate_network %>%
  edge_density
[1] 0.001913961
bg_reporters <- c("RobRogersBG", 
                  "samalwilson", 
                  "BGKord", 
                  "BGmhoffman", 
                  "DarrellEhrlick", 
                  "BGMayer", 
                  "bgSueOlp", 
                  "hollykmichels", 
                  "kscherting", 
                  "TomLutey", 
                  "PhoebeTollefson")

bg_tweets <- get_timeline(bg_reporters, n = 500)
# create network, including only members of our group
bg_mentions_network <- bg_tweets %>% 
  filter(mentions_screen_name %in% bg_reporters) %>% 
  gt_edges(screen_name, mentions_screen_name, text) %>% 
  gt_graph


#get nodes
bg_mentions_nodes <- as_data_frame(bg_mentions_network, what = "vertices")


# get edges
bg_mentions_edges <- as_data_frame(bg_mentions_network, what = "edges")


# add info to nodes
bg_mentions_nodes <- bg_mentions_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(bg_mentions_network)) %>% 
  mutate(value = degree)

# add info to edges
bg_mentions_edges <- bg_mentions_edges %>% 
  mutate(title = text)


# create the network diagram
visNetwork(bg_mentions_nodes, 
           bg_mentions_edges,
           main = "Billings Gazette Reporters Twitter Mentions Network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
bg_mentions_nodes %>%
  select(name, degree)

One group of lists comes from TwitterGov. Here are a few of the government lists they keep: “us-cabinet” (n = 41), “us-governors” (n = 50), “world-leaders” (n = 107), “us-senate” (n = 180). The senate list has 180 even though there are 100 senators because it includes personal accounts of the senators as well as their official senate accounts.

senate <- lists_members(slug = "us-senate", owner_user = "TwitterGov")

senate_tweets <- get_timeline(senate$screen_name, n = 180)

# This creates the network with some commands from graphTweets
# The variables in the parentheses of gt_edges() are used, so in this case we're using retweets
senate_retweets_network <- senate_tweets %>% 
  filter(retweet_screen_name %in% senate$screen_name) %>%     # <- This is a new line and important.
  gt_edges(screen_name, retweet_screen_name, text) %>%             # It only keep retweets of other cabinet members
  gt_graph()


# This next line gets the nodes
senate_retweets_nodes <- as_data_frame(senate_retweets_network, what = "vertices")

# This adds some additional info to the nodes, so we get the names on hover
# and the size of the node is based on its degree, etc.
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(senate_retweets_network)) %>% 
  mutate(value = degree)

# This gets the edges, similar to how we got the nodes above
senate_retweets_edges <- as_data_frame(senate_retweets_network, what = "edges")

# This puts the text of the tweet itself into the edge
# so when you hover over a line in the diagram it will show the tweet
senate_retweets_edges <- senate_retweets_edges %>% 
  mutate(title = text)

# Creates the diagram
visNetwork(senate_retweets_nodes, senate_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(group = membership(infomap.community(senate_retweets_network)))
Modularity is implemented for undirected graphs only.
visNetwork(cabinet_retweets_nodes, cabinet_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to") %>%   
  visOptions(highlightNearest = T, nodesIdSelection = T, selectedBy = "group")
Can't find 'group' in node data.frame
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(group = membership(infomap.community(senate_retweets_network)))
Modularity is implemented for undirected graphs only.
visNetwork(senate_retweets_nodes, senate_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to") %>%   
  visOptions(highlightNearest = T, nodesIdSelection = T, selectedBy = "group")
---
title: "Riesen retweets"
output: html_notebook
---

1. Use the us-senate list to get the last 200 tweets from US senators.  
2. Create a network of retweets.  
3. Get a count of nodes and edges, and get the density of the network.  
4. Create a data table of the senators, showing only their names and degree.  
5. Find communities and make a network diagram showing the communities. (You may make two diagrams, one with the communities and one without.)

```{r}
us_senate <- search_tweets
```


```{r}
us_senate <- search_tweets(geocode = "45.80,-108.55,25mi", n = 200)

```

```{r}
# This creates the network with some commands from graphTweets
# The variables in the parentheses of gt_edges() are used, so in this case we're using retweets
# We're also keeping text of the tweets
us_senate_network <- bl_tweets %>% 
  gt_edges(screen_name, retweet_screen_name, text) %>% 
  gt_graph()


# This next line gets the nodes
us_senate_nodes <- as_data_frame(us_senate_network, what = "vertices")

# This adds some additional info to the nodes, so we get the names on hover
# and the size of the node is based on its degree, etc.
us_senate_nodes <- us_senate_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(us_senate_network)) %>% 
  mutate(value = degree)

# This gets the edges, similar to how we got the nodes above
us_senate_edges <- as_data_frame(us_senate_network, what = "edges")

# This puts the text of the tweet itself into the edge
# so when you hover over a line in the diagram it will show the tweet
us_senate_edges <- us_senate_edges %>% 
  mutate(title = text)

# Creates the diagram
visNetwork(us_senate_nodes, us_senate_edges, main = "Retweet network US senate Around Billings") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
```




```{r}
us_senate_network %>% 
  vcount()
```

```{r}
us_senate_network %>% 
  ecount()
```

```{r}
us_senate_edges %>%
  select(from, to, text)
```

```{r}
us_senate_network %>%
  edge_density
```



```{r}
bg_reporters <- c("RobRogersBG", 
                  "samalwilson", 
                  "BGKord", 
                  "BGmhoffman", 
                  "DarrellEhrlick", 
                  "BGMayer", 
                  "bgSueOlp", 
                  "hollykmichels", 
                  "kscherting", 
                  "TomLutey", 
                  "PhoebeTollefson")

bg_tweets <- get_timeline(bg_reporters, n = 500)
```



```{r}
# create network, including only members of our group
bg_mentions_network <- bg_tweets %>% 
  filter(mentions_screen_name %in% bg_reporters) %>% 
  gt_edges(screen_name, mentions_screen_name, text) %>% 
  gt_graph


#get nodes
bg_mentions_nodes <- as_data_frame(bg_mentions_network, what = "vertices")


# get edges
bg_mentions_edges <- as_data_frame(bg_mentions_network, what = "edges")


# add info to nodes
bg_mentions_nodes <- bg_mentions_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(bg_mentions_network)) %>% 
  mutate(value = degree)

# add info to edges
bg_mentions_edges <- bg_mentions_edges %>% 
  mutate(title = text)


# create the network diagram
visNetwork(bg_mentions_nodes, 
           bg_mentions_edges,
           main = "Billings Gazette Reporters Twitter Mentions Network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
```






```{r}
bg_mentions_nodes %>%
  select(name, degree)
```



One group of lists comes from TwitterGov. Here are a few of the government lists they keep: "us-cabinet" (n = 41), "us-governors" (n = 50), "world-leaders" (n = 107), "us-senate" (n = 180). The senate list has 180 even though there are 100 senators because it includes personal accounts of the senators as well as their official senate accounts.


```{r}
senate <- lists_members(slug = "us-senate", owner_user = "TwitterGov")

senate_tweets <- get_timeline(senate$screen_name, n = 180)



```


```{r}
# This creates the network with some commands from graphTweets
# The variables in the parentheses of gt_edges() are used, so in this case we're using retweets
senate_retweets_network <- senate_tweets %>% 
  filter(retweet_screen_name %in% senate$screen_name) %>%     # <- This is a new line and important.
  gt_edges(screen_name, retweet_screen_name, text) %>%             # It only keep retweets of other cabinet members
  gt_graph()


# This next line gets the nodes
senate_retweets_nodes <- as_data_frame(senate_retweets_network, what = "vertices")

# This adds some additional info to the nodes, so we get the names on hover
# and the size of the node is based on its degree, etc.
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(id = name) %>% 
  mutate(label = name) %>% 
  mutate(title = name) %>% 
  mutate(degree = degree(senate_retweets_network)) %>% 
  mutate(value = degree)

# This gets the edges, similar to how we got the nodes above
senate_retweets_edges <- as_data_frame(senate_retweets_network, what = "edges")

# This puts the text of the tweet itself into the edge
# so when you hover over a line in the diagram it will show the tweet
senate_retweets_edges <- senate_retweets_edges %>% 
  mutate(title = text)

# Creates the diagram
visNetwork(senate_retweets_nodes, senate_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to")
```

```{r}
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(group = membership(infomap.community(senate_retweets_network)))

visNetwork(cabinet_retweets_nodes, cabinet_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to") %>%   
  visOptions(highlightNearest = T, nodesIdSelection = T, selectedBy = "group")
```


```{r}
senate_retweets_nodes <- senate_retweets_nodes %>% 
  mutate(group = membership(infomap.community(senate_retweets_network)))

visNetwork(senate_retweets_nodes, senate_retweets_edges, main = "US senate officials retweet network") %>% 
  visIgraphLayout(layout = "layout_nicely") %>% 
  visEdges(arrows = "to") %>%   
  visOptions(highlightNearest = T, nodesIdSelection = T, selectedBy = "group")
```





















