This lecture introduces the concept of paths in networks, defining them as sequences of nodes connected by arcs. It explains the difference between simple paths and cycles, illustrating with examples of forward, backward, and simple cycles.
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Covers algorithmic paradigms for dynamic graph problems, including dynamic connectivity, expander decomposition, and local clustering, breaking barriers in k-vertex connectivity problems.
