A Method for Maximizing Social Network Influence Considering Node Reading Effect and Delay

The dissemination of articles in social networks is not only related to the centrality of nodes, but also to the reading effect and delay of nodes. In order to more accurately measure the influence of nodes in the process of article dissemination, we propose a social network impact maximization method that considers the reading effect and delay of nodes. The reading effect of a node refers to the probability of forwarding and reading articles after receiving them, while the delay of a node refers to the time delay of forwarding or reading articles after receiving information. This method calculates the influence of each node during the article dissemination process by establishing an influence model that includes reading effect and delay, and selects some nodes as seed nodes. This method can improve the dissemination effect of articles and help design more effective social network marketing strategies and advertising placement plans.