Hi computer scientists!

I urgently need help with the following assignment:

Submission: You will submit a report that includes: - A brief introduction that includes a purpose/motivation for your analysis. - Metrics and visualization of the network (each in a separate section when necessary). - Explanation of the values and observations.

Network datasets sources: https://snap.stanford.edu/data/ http:/etworkrepository.com http:/etworksciencebook.com/translations/en/resources/data.html https:/etworkdata.ics.uci.edu/resources.php https://kateto.net/2016/05etwork-datasets/ http://www-personal.umich.edu/~mejnetdata/

For this assignment you will analyze a publicly available social network using different algorithms and explain the results. Due date: March 1, 2021. Project description: Download a social network dataset (use the dataset sources below). Then do each of the following steps to analyze the network. 1. Examine the following measures: - Average shortest path length, network diameter, and effective network diameter. - Degree distribution. - Network density. - Network reciprocity - Network modularity and community structure. - Centrality (overall, indegree, outdegree). 2. Visualize the network highlighting several network aspects: Centrality. Community structure. Core/periphery. 3. Provide an explanation for each observation(measure/visualization). For example, use node degree distribution to predict influence propagation throughout the network. Try to explain reciprocity and density from the system perspective. For this assignment you will analyze a publicly available social network using different algorithms and explain the results. Due date: March 1, 2021. Project description: Download a social network dataset (use the dataset sources below). Then do each of the following steps to analyze the network. 1. Examine the following measures: - Average shortest path length, network diameter, and effective network diameter. - Degree distribution. - Network density. - Network reciprocity - Network modularity and community structure. - Centrality (overall, indegree, outdegree). 2. Visualize the network highlighting several network aspects: Centrality. Community structure. Core/periphery. 3. Provide an explanation for each observation(measure/visualization). For example, use node degree distribution to predict influence propagation throughout the network. Try to explain reciprocity and density from the system perspective