Recommender-System-for-Social-Network

The code analyzes a social network for various parameters like the number of users, number of directed edges, total interests of the users, density of the graph, in-degree and out-degree, triads, clustering co-efficients and diameter of the network. The code also recommends users to follow basis the common followers, followees and interests. The code uses Jaccard Index to calculate the level of similarities and two algorithms - Neural Networks and Logistic regression.