User discovery strategy of information dissemination in online social networks based on user experience

To make a small number of nodes covered by policies, this paper proposes a user discovery strategy for information dissemination in online social networks based on user experience. This paper uses Internet crawler technology, according to certain rules to automatically access the online social network, crawler online social network home page data information. Then, combined with the improved PageRank algorithm, node centrality and information publishing user discovery rules, the online social network information publishing user discovery model is constructed. Finally, the effectiveness of the strategy is verified by designing online social network simulation data and key node distribution. The experimental results show that the average number of nodes covered by the research strategy is 17, 30.5 and 24.5 higher than that of the four groups of common strategies, respectively, with higher node coverage and the ability to find more information dissemination users.