Application research of visualization optimization algorithm of network topology based on simulated annealing algorithm

People have successfully applied complex network theory to many cross-cutting fields, including social network construction, route planning, and association information mining. For complex networks, the visualization of network topology is one of the main ways to express and convey information. With the help of visualization techniques, users can visually and intuitively perceive the objects and inter-object relationships expressed by the network. However, many complex network visualization algorithms often ignore the user's intuitive cognitive needs for complex networks, making the final generated network visualization results suffer from path intersection and node overlap. This paper proposes a visualization optimization algorithm based on the simulated annealing algorithm oriented to the mainstream force layout algorithm to optimize and design a reasonable optimization function. It adjusts the structures that are unfavorable to visual cognition and improves the cognitive efficiency of users in the visualization of network topology. The author expects that the research in this paper will be helpful for the optimization of network topology visualization algorithms for complex networks and their applications.