Online social network in the study, dynamic implicit community or group structure of discovery and detection is a very key question at the heart of evolution, it is in the medium (Mesoscopic) view to observe the online social network hidden structure characteristic, predict the evolution trend, control of the situation, found that network abnormal mass incidents, etc. It is of great significance. The purpose of this paper is to provide technical advice for community discovery research by studying online dynamic social network evolution community discovery methods. This paper analyzes the characteristics of local clustering coefficient and node similarity calculation in unsigned network, and proposes the extended local clustering coefficient as the structural attribute of the edge in unsigned network. This property can better reflect the characteristics of local network density and network structure. Combining the new edge structure measure with the label propagation algorithm with linear time complexity, a label propagation algorithm combining the extended local clustering coefficient is proposed. The results showed that the accuracy of community discovery was improved by 32.6 percent in dynamic social networks.
The current education and teaching reforms are constantly creating a “student-centered, teacherled” teaching model, and promote the development of education and teaching in a personalized direction. Therefore, cultivating and improving the learning ability of college students through personalized network teaching mode has become one of the hot issues in the current education and teaching reform and development. The purpose of this paper is to study the personalized reform of computer education based on the network teaching model, based on the constructivist learning theory, combined with the research results of artificial intelligence, to the knowledge representation, student personality evaluation and teaching strategy decisionmaking in the personalized computer-assisted teaching system research and exploration have been carried out on other issues, forming a network teaching system with certain intelligence. In computer teaching, “Configuring Computer” is used as the learning theme to compare the advantages and disadvantages of personalized network teaching and traditional network teaching. A detailed analysis of the two inquiry learning and a more in-depth reflection were carried out. The experimental results show that the students’ inquiry cooperation ability and the quality of works in personalized online teaching have been improved to varying degrees. On the whole, the ratio of excellent to good in learning evaluation increased, and the ratio of medium to poor decreased, and the quality of multimedia works of more than 13% of students improved to excellent. The two teachings were carried out smoothly and basically achieved the expected goals proposed in this article.
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