Abstract: The internet ecosystem is being severely disrupted by cybercrime gangs, such as online gambling and online drug trafficking. Deactivating and banning core cyber assets of cybercrime gangs are widely-used manners to fight against cybercrimes. In this paper, we propose a cyber asset graph construction method for mining and integrating the information of and associations between cyber assets of cybercrime gangs from heterogeneous online data sources. We also propose a set of visualization methods, including graph layout methods, core asset identification methods and community detection methods that present cyber asset graphs for asset association analysis, core asset and its sphere of influence identification. Furthermore, a large-scale cyber asset graph dataset is released to the public, aiming to promote the development and innovation of advanced data analysis technologies for cybercrime fighting.