Research On Top-k Node Detection Method Of Campus Collaborative Learning Community Based On Mobile Social Network

In the campus environment,the continuous development and innovation of modern educational theory and technology have made the concept of "student-centered" more and more popular,and a large number of student-centered teaching methods have emerged.Collaborative learning is an important campus learning method with students as the main body.Traditional collaborative learning mostly occurs in students' learning activities at the same time and in the same space.With the continuous development of Internet technology and market demand,Computer Supported Cooperative Learning(CSCL)has emerged as the times require and has become the main form of cooperative learning.For example,MOOC of China University,Cloud classroom of Netease and Tencent Class are all excellent platforms for online collaborative learning in China.The sudden outbreak of COVID-19 in 2020 has led to the failure of primary and secondary schools and universities in China to attend school normally.Network collaborative learning has played an extreme role.However,most of the current CSCL are online learning platforms that require learning on the premise of a network connection.Therefore,the disadvantages of online collaborative learning continue to emerge.China is still a developing country today,and information and networks in many remote areas are underdeveloped.Due to the outbreak of disease and the implementation of CSCL,many students are restricted by the Internet and often cannot complete online learning.Therefore,when the network becomes the core problem of CSCL,how to solve the collaborative learning in a network-less environment is a problem worth considering.At present,large-scale collaborative learning without networks is difficult to solve.However,on the basis of the existing technology,network-free collaborative learning can be realized stably in a small campus environment.Mobile social network(MSN)is a special self-organizing network,which mainly targets smaller areas,and more considers people's social relationships and geographical locations for the spread of news.It adopts "store-carry-forward" mode for message interaction.And it realizes message interaction and delivery according to the movement of nodes.Therefore,using MSN in the campus community can realize the dissemination of messages under network-free conditions,and will greatly improve the efficiency of collaborative learning on campus.Based on the campus collaborative learning in the MSN environment,this paper studies the related methods of finding top-k influence nodes in the campus community to maximize the role of collaborative learning.The specific work is as follows:(1)This article proposes to implement collaborative learning in a network-less environment on campus.By analyzing the differences between online collaborative learning and MSN-based collaborative learning,it can be found that factors influencing top-k nodes in the campus community are different from traditional node influence studies.Therefore,the relevant factors of node influence specific to the campus community are summarized.(2)Based on the research of the influence factors of the above campus community nodes,the comprehensive analysis of the students' moving track,learning situation,correct rate of reply and so on,this paper puts forward five unique influence measurement factors of the students' nodes,which are the correlation degree of the students' nodes,the accessibility of the students' nodes,the learning lead index,the learning centrality and the contact centrality of the students' nodes.(3)Based on the above five node influence measurement factors,the top-k node influence algorithm is designed in accordance with the campus collaborative learning community under MSN.This paper proposes four specific algorithms,using three experimental routes:EpidemicRouter,SprayAndWaitRouter,and DirectRouter.The effectiveness of the four algorithms is verified by analyzing the message delivery rate and response accuracy.