We will use different criteria to define the links, and then compare the properties of the resulting networks. Use your node ID as source and select other students node IDs as target At Random: links are created by selecting 4 people at random. Acquaintances: links are created if you know the person and have talked to them. Select as many as it applies. Network Construction: Nodes: c88-2023_nodes.csv you can find your name, major and a unique node_id Random Links: c88-2023_links_random.csv Acquaintances: c88-2023_links_acquaintances.csv

Basic Network Analysis Work with the largest component of the data. 1) How many nodes and links each network has? (1pt) 2) What is the maximum in-degree in each network and the node id/s of the student/s that corresponds to it (2pt) import numpy as np \&matplotlib inline import matplotlib.pyplot as plt import networkx as nx import pandas as pd import os \&matplotlib inline Basic Network Analysis Question 1 How many nodes and links does each network have? (1pt)