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Web archives are not direct traces of the web, they are direct traces of crawlers. By design, the structure of web archives limits our capacity to explore the memory of the Web. These structural issues induce temporal discontinuities such as inconsistency, redundancy and blindness. In this paper, we address the question of re-injecting continuity within large corpora of web archives. We introduce the notions of persistences (series of time-stable snapshots of archived web pages) and continuity spaces (networks of time-consistent persistences). We demonstrate how – on the basis of a quality score – persistences can be used to select subsets of web archives within which in-depth historical analysis can be conducted at scale. We next propose to make use of a new visualization approach called web cernes to reconstruct the multi-level temporal evolution of an archived community of web sites. We finally apply our framework to study the history of the firsttuesday movement: a constellation of entrepreneurial web sites that acted in the interest of the economical growth of the web in the early 2000s.
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Stored only when both papers are in the corpus — 2 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.