Cluster the subject areas of faculty using the Louvain algorithm (k=5)

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

1. Cluster the subject areas of faculty using the Louvain algorithm (k=5)

Explanation:

Louvain Clustering Algorithm

It is a method to extract communities from a large networks

One of the fastest modularity-based algorithm

Works well with large graphs

 

Step 1: Construct network using publication subject areas

Step 2(i) : Read the network data from csv file

Step 2(ii): Convert the dataframe into a graph dataframe

Step 3: Use cluster_louvain() function for Louvain Clustering clusters = cluster_louvain(graph_df)

 

Step 4: Save the clusters object into a csv file

Step 5: Use wordcloud () function to represent the clusters

Sample output

 

2. Generate a bar plot for

• number of publications per subject area per continent pre-2014,

• number of publications per subject area per continent post-2014,

• The difference of above graphs 3.Generate a bar plot for

• number of publications per CIP category per continent pre-2014,

• number of publications per CIP category per continent post-2014,

• the difference of above graphs

Attachments:

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