Calculating a content subset

A non-transitory computer-readable medium storing a set of instructions executable by a processing resource to:

• crawl a number of webpages for content;
• determine a relevance to a particular domain of the content of each of the number of webpages;
• determine a penalty for each of the number of webpages utilizing an occurrence probability of each of the number of webpages and based on how many of the number of webpages can be analyzed within a target timeframe;
• calculate a first subset of the content within a Breiman, Friedman, Olshen, and Stone (BFOS) model utilizing a data tree model;
• iteratively calculate a second subset of the content based on the relevance and the penalty, where the second subset is a subset of the first subset;
• analyze the second subset;
• terminate the iterative calculation in response to a magnitude of a resulting ratio of the calculation reaching a threshold value.

A system, comprising:

• a memory resource;
• and
• a processing resource coupled to the memory resource to implement:
• a retrieval module comprising computer-readable instructions stored on the memory resource and executable by the processing resource to retrieve a repository of content through crawling web links;
• a determination module comprising computer-readable instructions stored on the memory resource and executable by the processing resource to determine a sub-repository of the content that can be analyzed within a target timeframe utilizing a data tree-based model, an occurrence probability of each web link in the sub-repository, and a relevance of each web link in the sub-repository of content;
• an analysis module comprising computer-readable instructions stored on the memory resource and executable by the processing resource to analyze the sub-repository of content within the target timeframe;
• the determination module to iteratively determine the sub-repository;
• and
• a termination module comprising computer-readable instructions stored on the memory resource and executable by the processing resource to terminate the iterative determination in response to a magnitude of a resulting ratio of the determination reaching a threshold value.