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sort(betweenness(g), decreasing = TRUE)
```
#Clearly Yifei Zhang has the highest 'betweeness centrality'.
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#Clearly 'Yifei Zhang' has the highest 'betweeness centrality'. Yifei has the degree of "24", which is the second highest in the class. And she has the betweenness(g) of 260.6143603, which is the highest in the class. Therefore, she is the most central person in the course while discussing the p-p network (courses).

```{r}
interest <- as.factor(g$InterestedTopics)
plot(C4, layout=layout_as_star, vertex.size = 1.5, vertex.label.cex=0.6, vertex.label.color= "lightblue", vertex.color=interest)
#It was clear that the Clusters were divided into two groups, with some scattered nodes outside.
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Two groups. It's more dispersed than major.

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