There are several goals for this assignment. First, you will get experience measuring and analyzing real network data.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Description

There are several goals for this assignment.

First, you will get experience measuring and analyzing real network data.

Second, formalize, model and analyse given dataset.

Third, you will write the analysis of applied network analysis metrics in report format. Fourth, explore, understand and explain two other network analysis metrics not discussed in class.

Your assignment is to load any dataset (Many datasets are available on web for example https://snap.stanford.edu/data/) in R (you can use any tool given at the end of assignment).

1) Find the structural properties such as degree, density, global and local clustering, betweenness, closeness etc.

2) If the network dataset is two-mode network then project the dataset from one-mode to two-mode by using three methods (Binary, Sum and weighted Newman).

3) Write in detail the analysis with respect to all metrics.

Hint: Follow the article "Two-mode network modelling and analysis of dengue epidemic behaviour in Gombak, Malaysia” for writing the results. Also follow the lecture slides for methods to find all these metrics.

You can select any network analysis tool for this assignment, few are given below

1. R-Project (http://cran.r-project.org/web/packages/sna/index.html)

2. Gephi (http://gephi.org/)

3. NodeXL (http://nodexl.codeplex.com/) 4. Pajek (http://pajek.imfm.si/doku.php)

5. NetworkX (http://networkx.lanl.gov/)

For fourth goal, please search, understand, write and explain two network analysis metrics namely Assortativity and Eigen vector centrality.

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