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The web is today's primary publication medium, making web archiving animportant activity for historical and analytical purposes. Web pages areincreasingly interactive, resulting in pages that are increasingly difficult toarchive. Client-side technologies (e.g., JavaScript) enable interactions thatcan potentially change the client-side state of a representation. We refer torepresentations that load embedded resources via JavaScript as deferredrepresentations. It is difficult to archive all of the resources in deferredrepresentations and the result is archives with web pages that are eitherincomplete or that erroneously load embedded resources from the live web.  We propose a method of discovering and crawling deferred representations andtheir descendants (representation states that are only reachable throughclient-side events). We adapt the Dincturk et al. Hypercube model to constructa model for archiving descendants, and we measure the number of descendants andrequisite embedded resources discovered in a proof-of-concept crawl. Ourapproach identified an average of 38.5 descendants per seed URI crawled, 70.9%of which are reached through an onclick event. This approach also added 15.6times more embedded resources than Heritrix to the crawl frontier, but at arate that was 38.9 times slower than simply using Heritrix. We show that ourdataset has two levels of descendants. We conclude with proposed crawl policiesand an analysis of the storage requirements for archiving descendants.

Adapting the Hypercube Model to Archive Deferred Representations and Their Descendants