Running Community Detection With Memgraph and Python NetworkX

Introduction

While the NetworkX package may be enough on its own to learn about graph theory and algorithms, in production, you will often require a permanent storage solution and additional graph analytics capabilities. Using Memgraph, an in-memory graph database, as the storage solution provides additional benefits and functionalities to NetworkX by extending its feature set.

By using the property graph model and the Cypher query language, exploring networks becomes much easier and intuitive. While NetworkX is completely dependant on and limited by Python code, Memgraph offers a way of combining useful NetworkX functionalities with an efficient and simple query language like Cypher.

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