GitHub - KarnVadaliya/game-of-thrones-network: A network analysis of the complex game of thrones co-appearances network and using the various centrality measures such as betweenness, closeness, degree and pagerank and deduced the most important, consistent and influential character in the network. A modularity based community detection to find the top communities inside the complex network.

KarnVadaliya / game-of-thrones-network Public

Notifications You must be signed in to change notification settings
Fork 1
Star 1

A network analysis of the complex game of thrones co-appearances network and using the various centrality measures such as betweenness, closeness, degree and pagerank and deduced the most important, consistent and influential character in the network. A modularity based community detection to find the top communities inside the complex network.

1 star 1 fork Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Complex_Networks.pdf		Complex_Networks.pdf
Main.py		Main.py
ReadMe		ReadMe
got.txt		got.txt

Repository files navigation

-> Preferrably run Code on Anaconda Distribution. 

-> Python Version Requirement: Python 3.6

-> Libraries Requirement:

1) networkx
2) matplotlib
3) numpy
4) community
5) scipy

-> Dataset required in '.txt' file format. The graph should be undirected and weighted.

_____________________________________________________________________________________________

Number of Nodes in the Network:  796
Number of Edges in the Network:  2823

Average Clustering Co-effecient =  0.48586220733504853 .