{'fraction_non_alphanumeric': 0.01684717208182912, 'fraction_numerical': 0.0, 'mean_word_length': 5.351145038167939, '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}}
Exploring Dynamic Social Network through Interactive Visualization

In this article, we present a dynamic graph visualization tool for interactive exploration of network data, particularly for Dynamic Social Network (DSN). We model DSN as a dynamic graph as a spring-mass system and use color and size of a node to denote its age and importance. This tool includes several visualization functions such as scoping, zooming, grouping, and filtering for users to interactively probe specific aspects of the network by selecting appropriate functions and tuning visual parameters. A case study on the social relations of important people in the contemporary history of Taiwan has been conducted. Through this example, we demonstrate the benefits of using this kind of visualization tool to discover knowledge for history understanding.