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The modern web is an immense graph of interconnected pages. Full traversal is impossible for many projects—researchers, archivists, and small-scale crawlers must choose which links to follow and which to ignore. nthlink offers a simple, explainable approach: pick every nth link (or follow links at regular intervals generated by an index or hash) to create a deterministic, representative subset of the link graph. How nthlink works At its core, nthlink relies on an indexable ordering of outbound links on a page (for example, their appearance order in the HTML or after normalization). Given a positive integer n and an offset (usually 0 ≤ k < n), the crawler follows the links at positions p where (p + offset) mod n == 0. Variants use a stable hash of the link URL, domain, or anchor text to spread selections more evenly across pages whose link ordering is inconsistent. Why use nthlink? - Simplicity and reproducibility: The approach is easy to implement and produces the same results every run if parameters and ordering are preserved. That reproducibility is valuable for experiments, A/B comparisons, and longitudinal studies. - Resource control: By setting n appropriately, operators can throttle crawling intensity without complex heuristics. - Fair sampling: Unlike naive "first-k" strategies that bias toward top-of-page links, nthlink distributes attention across the full length of link lists, reducing positional sampling bias. - Deterministic fairness across domains: Using a hash-based variant can ensure that selection is not always concentrated on the same domains or content types. Applications - Academic research: Social scientists and web researchers can uniformly sample links across many pages to study hyperlink structures and content propagation. - Small-scale archiving: Local archives with limited bandwidth can capture a predictable subset of pages for future restoration or analysis. - Link-based crawling for discovery: nthlink can be combined with priority queues or depth limits to balance focused discovery with broad coverage. - Decentralized agents: Lightweight devices or bots running on constrained hardware benefit from the predictable cost of link traversal. Limitations and considerations nthlink is not a silver bullet. Uniform selection by position may still miss important semantic links if those are rare or clustered. For pages with dynamically ordered or ephemeral link lists, index consistency must be ensured (for example, canonicalized HTML). Combining nthlink with heuristics—such as prioritizing links by domain authority, language, or content-type—can improve relevance while retaining deterministic sampling properties. Conclusion nthlink is a pragmatic strategy for selective link traversal when exhaustive crawling is impractical. Its strengths—simplicity, reproducibility, and controllable resource use—make it a useful tool in the toolbox of researchers, archivists, and small-scale crawlers. When applied thoughtfully and possibly combined with content-aware heuristics, nthlink can produce representative, manageable subsets of the web for study and preservation.