Calculates local clustering coefficient of every node

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Reference no: EM131832563

Assignment: Algorithms for Complex Networks

1. Install Gephi on your computer. If you prefer, you can also use networkx for Python or igraph for C/C++.

2. Visit The Index of Complex Networks and select an interesting, unweighted and undi-rected, network dataset.

3. Write a code that reads the network and calculates the degree and local clustering coefficient of every node.

4. Summarize your findings in an appropriate manner. For example, show the distri-butions of degrees and clustering coefficients in two separate figures. Alternatively, present a scatter plot of degree and clustering coefficient for every node.

5. Describe the chosen network, your code, and your results in your own words and create a visualization of the network to accompany your document.

Reference no: EM131832563

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