Social Network User System with Graph theory

This folder contains the notebooks used to evaluate and build our model

stage 1: cold start(no followers) stage 2: 2-3 followers (less mutuals recommended) stage 3: 5-10 followers ( more mutual, followers of followers ) Discrete Mathematics project - Analyse social networks with Graph Theory and build a user recommendation system based on graph theory concepts.

Contributers: 05kashyap, Vijayvkb007, adya2004.

Recommender Notebook: In dev model to recommend users with 3 stages of connections.

Notebook 1: Contains an overview of graph theory concepts with python implementation.

Notebook 2: Describes need the shift to networkx and its usage.

Notebook 3: Visualisation and brief analysis of the twitter data set from https://snap.stanford.edu/data/ego-Twitter.html.

Notebook 4: Analysis of different metrics that can be implemented to make an effective recommender system.