程序代写代做代考 —


title: “solution”
output: html_document

“`{r setup, include=FALSE}
library(knitr)
read_chunk(“hwk5.R”)
knitr::opts_chunk$set(echo = TRUE)
“`

## Part I: Simplifying the network

“`{r CA1}

“`

“`{r CA2}

“`

“`{r CA3}

“`

“`{r CA4}

“`

## Part II: Community detection

“`{r CB1}

“`

“`{r CB2}

“`

“`{r B3}

“`

“`{r B4}

“`

## Part III: Visualization

“`{r D1}

“`

“`{r D2}

“`

“`{r D3}

“`

“`{r D4}

“`

“`{r D5}

“`

“`{r D6}

“`

8. Embed the hashtag1.png and hashtag2.png files in your R markdown

![](hashtag1.png)

![](hashtag2.png)

9. Question: What aspects of political communication or particular news events do the clusters represent?

The clusters represents the resentment for President Trump by some voters.

10. Question: Which cluster makes the most “sense” to you as a grouping of terms? Why?

The two clusters by LE and Walktrap 10 are very similar. Cluster from Walktrap10 makes most sense.
Tags such as #presidentasshole, #worstpresidentever, #impeach45 are all the same emotion: resenment to
President Trump.