Abstract: This research implements betweenness centrality in social media, especially YouTube. This research focuses on analyzing the most influential users in shaping public opinion based on ...

networkx/networkx#8256 modified networkx to update the scaling of edge betweenness centrality as we did for vertex betweenness centrality scores earlier this year. We should update our implementation ...

An NLP-driven network analysis of Reddit comments reveals that the term "pain" serves as a central hub for symptom discourse, offering insight into how patients describe their experiences. A Natural ...

In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, ...

NVIDIA RAPIDS 24.10 introduces GPU-accelerated NetworkX and Polars with zero code changes, enhancing compatibility with Python 3.12 and NumPy 2.x for improved data processing. The latest release of ...

NVIDIA and ArangoDB introduce a solution to boost NetworkX performance for medium-to-large graphs using RAPIDS cuGraph and ArangoDB. NetworkX, a widely-used Python library for graph analytics, often ...

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I think we can have weighted_betweenness_centrality as a method. The code will probably look completely different because we exploit the fact that betweenness_centrality is unweighted to speed the ...