{'fraction_non_alphanumeric': 0.016551724137931035, 'fraction_numerical': 0.0, 'mean_word_length': 5.1525423728813555, '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}}
How to Optimize Social Network Influence

Online social networks are rapidly becoming an identifying feature of modern society. As online communities continue to grow, business networks of different domains also grow. As online social network begins to become increasingly integrated in our daily lives, the optimization of social network influence becomes increasingly important. In this paper, I propose to optimize influence using a modified linear threshold model. Under this model, I will focus on strategically selecting a set of users that will optimize our influence within the network. I call this type of problem as influence optimization. In this paper, I will propose a model to optimize social network influence.