WHOLE LEVEL NETWORK METRICS This section of the assignment requires you to perform an analytical comparison between the "Tec-Friend" network (representing real-life connections) and the "Tec-Random" network (a network of the same size and density but with random connections). You will analyze various network properties to understand the structural differences and characteristics of both networks. Analysis Steps: 1. Clustering Coefficients (Transitivity/Closure) Analysis: Calculate the clustering coefficients for both "Tec-Friend" and "Tec-Random" networks. This measure will give insight into the degree to which nodes in the network tend to cluster together. 2. Centralization Metrics Analysis: Assess the degree centralization metrics for both networks. These metrics will help identify the distribution of centrality across nodes and whether or not the networks have central nodes that dominate the structure. 3. Network Visualization: Produce visual representations for both "Tec-Random" and "Tec-Friend" networks