More nodes in fake news participate in multiple networks

Fake news and real news are different in many aspects. Many scholars analyze from the perspective of text, users and so on. This paper compares and analyzes these two types of information from the aspect of network structure: community detection. We found that the number of participating networks is larger in the fake news, the participation in the fake news multi-network is stronger, and the size of the community of fake news is more average. This abnormal spread pattern could be a feature of fake news identification and motivate future studies in this direction.