{'fraction_non_alphanumeric': 0.02377179080824089, 'fraction_numerical': 0.009508716323296355, 'mean_word_length': 5.076923076923077, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Static Ranking of Web Pages, and Related Ideas

This working paper reviews some different ideas in link-based analysis for search. First, results about static ranking of web pages based on the so called randomsurfer model are reviewed and presented in a unified framework. Second, a topic-based hubs and authorities model using a discrete component method (a variant of ICA and PCA) is developed, and illustrated on the 500,000 page English language Wikipedia collection. Third, a proposal is presented to the community for a Links/Ranking consortium extracted from the Web Intelligence paper Opportunities from Open Source Search.