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This project develops a real-time film review analysis system using Kafka for data streams and Memgraph for the graph database. It processes reviews, generates film recommendations with Cypher queries, blending real-time data processing and graph analysis for insights.
We here are very big fans of NetworkX as a graph library and its comprehensive set of graph algorithms. For many though, working with NetworkX involves a steep learning curve. This guide is designed as an aid for beginners and experienced users to find specific tips and explore the world of complex networks.
Python command-line script that will be able to get all website page links from starting website START_URL with a max depth of DEPTH. The network of website URLs stored in the Memgraph database. The script also able to find the shortest path from START_URLto E ND_URLfrom a scraped network of websites in the Memgraph database.
This project aims to develop a system capable of analyzing movie reviews in real-time using Kafka for data stream management and Memgraph for the graph database.