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A review on Python libraries for temporal network analysis
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DOI：10.1016/j.infsof.2026.108208.png)
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Abstract
En 中文
Complex networks represent systems with non-trivial connections and are widely used in fields such as social media, biology, and transportation. Temporal networks extend this by capturing the evolution of connections over time, providing insights into event sequences and information diffusion. Analyzing these networks requires specialized tools, and Python offers a variety of libraries tailored for this purpose.
Keywords:
Temporal networks
Python
Network metrics
Libraries
Packages
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