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Dynamic network analysis

1 article · AI & Computational Science · Wikipedia

Dynamic network analysis is a scientific approach that studies how networks—whether they're social connections, biological systems, or computer networks—change and evolve over time. Rather than taking a static snapshot of who connects to whom, this method tracks how relationships form, strengthen, weaken, or disappear, revealing patterns in how information, diseases, or influence spread through populations. By understanding these changing patterns, scientists can predict future network behavior and identify key players or vulnerable points in everything from disease outbreaks to social movements.

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