shows the trend of the number of TCP links in the TCP/IP stack of the system as a function of time when 10 participating nodes send requests to the central node at the same time. The number of TCP links is counted every 10 seconds. The straight line showing the horizontal trend is used. WSS is used as the communication protocol. Because the characteristics of WEBSOCKETS are long links, when the participating nodes establish a good communication channel with the central node, real-time full-duplex communication can be performed, and 10 participating nodes establish a stable 20 states of ESTABLISHED. This greatly improves the communication stability of the system. The curve shows the communication using HTTPS protocol. The central node will

shows the trend of the number of TCP links in the TCP/IP stack of the system as a function of time when 10 participating nodes send requests to the central node at the same time. The number of TCP links is counted every 10 seconds. The straight line showing the horizontal trend is used. WSS is used as the communication protocol. Because the characteristics of WEBSOCKETS are long links, when the participating nodes establish a good communication channel with the central node, real-time full-duplex communication can be performed, and 10 participating nodes establish a stable 20 states of ESTABLISHED. This greatly improves the communication stability of the system. The curve shows the communication using HTTPS protocol. The central node will

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Through the campus data sharing platform to realize the data sharing of various business systems in universities, so as to provide a comprehensive and accurate data foundation for the school to realize all-round information query, deeper data mining, intelligent decision-making and other research, and lay a foundation for the further realization of a smart campus Base. The purpose of this article is to study the integrated information sharing platform for college students based on data mining technology. This paper explores the intermediate model, uses the campus database to share the database, identifies the data sharing between the student information sharing system and the third-party business plan, and improves the performance of the general information database system on campus to facilitate the collation of student information by colleges and universities. It also provides flexibility for scientific research assistance. Experimental research shows that in the context of student information exchange, most students share knowledge on the knowledge exchange platform on average 1–6 times a day. This result shows that the number of students sharing knowledge through the platform is small, and some users are not effectively share knowledge in communication. KeywordsData miningStudent informationShared platformShared database