Propagation of two kinds of information on complex networks is studied. With assumption that new kind of information is generated after interacting between these two kinds of information, how rate of generating new information and rate of its recovery influence propagation are researched. Experiments show that when rates of propagation of these three kinds of information are same three kinds of information exist after system reaching stable under condition that the rate of generating new information is big. While rates of propagation of these three kinds of information differ a lot, information with big propagation rate exists after system reaching stable. The results could be extended into research of propagation of multi-information on complex networks.
A Study on the Influence Propagation Model in Topic Attention Networks
