The integration of humanity and digital technology has been becoming a new approach for social science research or even gradually forming a new discipline in academy. To understand currently developed knowledge structure of 'Digital Humanity', this study utilized keyword analysis and social network analysis on investigating scientific papers published in the field of 'Digital Humanity'. The methodology used in this study is capable of creating three-dimensional 'Research focus parallelship network' and 'Keyword Co-occurrence Network', together with two-dimensional knowledge map. The networks and knowledge maps can be depicted differently by choosing different information as network actor, i.e. country, institute, paper and keyword, to reflect knowledge structures form macro, meso, to micro-levels. The quantitative exploration provides a way to visualize and assess the development of 'Digital Humanity' to encourage the formation of this emerging research field.