Research On Evolution Mechanism Of Mobile Internet Users' Information Sharing Behavior Based On Agent Technology

With the rapid development of information technology and the flourishing development of the Internet industry,mobile internet has become a hot spot in the new generation of network environments.In addition,the popularity of mobile electronic devices has made more and more users become beneficiaries of the mobile Internet.Information sharing is one of the most frequent acts.At present,there are many researches on information behavior at home and abroad,but mainly on information demand,information search,and influencing factors of information utilization behavior.Research on the influencing factors of user information sharing behavior has not come to a unified conclusion.The evolutionary mechanism has not yet been systematically studied.Therefore,it is significant to study the information sharing behaviors of users under the mobile Internet,to explore the influencing factors of users' information sharing behaviors and to understand their evolutionary mechanisms.In this paper,a combination of theoretical derivation and physical simulation verification is used.Firstly,through literature analysis and text analysis,the author summarizes the previous research results and analyzes the factors affecting the user information sharing behavior.Based on this,Evolutionary game analysis that means the two different groups with different information are deducted.The results show that the quality of information itself,income,risk and cost are the influencing factors of whether or not the group carries out the sharing behavior,and on this basis,ESS and unstable points of two-group game.On the basis of the theoretical deduction,this paper builds the entity through Agent technology,simulates the entity with Netlogo platform and complements the evolutionary game process,and further verifies the influencing factors and behavior evolution process of information sharing behavior.The main innovation point of this paper is to put forward a combination of theoretical derivation and simulation evidence.On the one hand,it avoids the subjectivity and arbitrariness brought by the traditional questionnaire method,and at the same time it provides a new way of thinking and perspective on the research of information behavior.Therefore,the research results in this paper not only enrich the original theory of information behavior,but also provide a new perspective for analyzing the influencing factors of information behavior,and provide basis for social media platform operators to improve service functions and government departments and industry organizations to formulate policy norms.