riaarun25 / link-prediction-python

Social and Information Networks Project

Link Prediction in Social Networks

A Social and Information Networks Project

Introduction

Link Prediction is a fundamental problem in Social Network Analysis. The objective behind link prediction is to identify pairs of nodes that will either form a link or not in the future. There are numerous real-life applications which link prediction solves and it can range from predicting which customers are likely to buy what products on Amazon, recommending movies to watch on Netflix, suggesting interactions between children or even employees and on a farther end extracting vital insights from global networks. There are numerous techniques for link prediction such as Node-based metric, Topology-based metrics;which is commonly used, Social Theory based metrics and Learning based methods.
In our project, we aim to use the given dataset, to train our models after which we will use a testing dataset to evaluate the effectiveness of the models. We will also use a wide range of models and methods to determine the best possible solution to get more accurate results.