{'fraction_non_alphanumeric': 0.029548989113530325, 'fraction_numerical': 0.006220839813374806, 'mean_word_length': 5.252427184466019, '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}}
An Evolutionary Game Analysis of C2C E-Commerce Sellers' Trade Tactic Selection

Combined with the characters of C2C E-commerce market, and used replicated dynamic method of evolutionary game, we have established an evolutionary game model to the limited rational C2C E-commerce sellers' trade tactic selection. According to discussing the relationship of the model's parameters, we have analyzed long-term evolutionary trend of both good-credit and bad-credit C2C E-commerce sellers' tactic selection under different conditions. At last, we have put forward some useful advices to the development of E-commerce market based on these analyses.