{'fraction_non_alphanumeric': 0.019801980198019802, 'fraction_numerical': 0.0, 'mean_word_length': 5.136363636363637, '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}}
Gibsonian Modeling of Users in Social Networks

In recent days, social networks are creating huge amounts of data that need to be managed in intelligent ways. Ontologies always play important roles in these contexts: users and social objects may refer to concepts and this can provide efficient methods to store, retrieve and recommend contents. Everything, however, relies on the concept of interaction.