Reference no: EM132118696 , Length: 2 pages

Network Analysis

This assignment requires you to use all the network analysis skills and techniques we have learned in class. You will be provided a sample network data-set to construct, analyse, and visualize a network from it. Your goal is to construct the network and then write a short report about it. Describe interesting features, important institutions, relationships contained in the network. This is not something you can do just by looking at the structure: you will need to analyze the network property (both node level and network level properties). You should provide a deep investigation into the network. Who are the central institutions/universities? What is their role in the network (e.g., their Degree, Betweenness, and Eigenvector Centrality)? What are the big clusters? What does each represent? How did you find that out? Please include a thorough analysis of all the major features of the network. The report will be graded based on:

1. The report includes a meaningful visualization of the network. Try to replicate Figure 1 (page 179 of the textbook) with different colours (I will not accept similar colours). You should filter the network, for example, highlighting the important nodes, showing the intensity of collaboration (e.g., with links width and colours)

2. The report includes network-level statistics (such as total number nodes, clustering coefficient, average degree, density, and diameter) with a brief explanation of results. What does it say about the network?

3. The report includes a list of the top 10 nodes (institutions) in terms of degree, betweenness, and eigenvector centralities accompanied by a brief explanation of the results. Provide a meaningful description of who the institutions are, what their role in the network is, and how their research and teaching activities related to that role, etc.

4. In terms of Eigenvector Centrality; what is the position of Waikato University as compared to others and what does it mean?

Data source

The dataset represents a sample of New Zealand's scholarly network that I constructed based on 3,385 computer science related publications (from 1972-2016); where nodes represent authors and links represents co-authorship relations. This is a network file (.net) and opened/read by either NodeXL or Gephi (or any other tool of your choice listed below) to construct and analyze the network.

Formatting Guidelines

1. The final report should be no more than 3,000 words (excluding tables and references), 12-point font, and one-inch margins.

2. Include page numbers to facilitate review.

3. Use the assignment submission sheet as the first page

4. Use headings and subheadings to facility the review.

Attachment:- Network Analysis.zip