Abstract- People’s lives have been impacted by the rapid growth of online social networks. The social network will evolve over time based on user interest. Predicting new and missing relationships. Link analysis can be used to determine the relationships between nodes in a social network. New linkages and nodes can be identified using this method. Information about the attributes is determined and for that machine learning techniques are employed as they offer a collection of features to improve performance through the use of monitored learning environment. The main purpose is to predict the probability of connection between nodes for personalized recommendations using supervised machine learning by training model, and the performance of the model is analyzed using prediction performance metrics.

Keywords: Social Network, Link Prediction, Machine learning, Performance metrics, Supervised learning, Twitch

PDF | DOI: 10.17148/IJARCCE.2022.114162

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