The Role and Impact of Social Network Analysis Algorithms in Students’ Intercultural Competence Development and English Teaching and Learning

As the speed of economic globalization continues to accelerate, cultural exchanges between China and other countries are getting closer and closer, and cross-cultural communication is essential, so it is especially important to cultivate students’ cross-cultural competence in English teaching. The article selects the indicators of density, central potential, cohesive subgroups, centrality, and structural holes in the social network analysis algorithm to quantify the overall structure, local and individual attribute characteristics of the network of students’ intercultural competence cultivation. It also proposes an English classroom teaching model that incorporates the cultivation of intercultural competence. Finally, the model is applied to specific teaching practices to verify its role and influence on students’ intercultural competence. The statistical analysis of the data shows that the method presented in this paper has a positive impact on the development of students’ intercultural competence and the improvement of their English performance. As far as intercultural knowledge is concerned, the average score of students’ intercultural knowledge before the experiment is about 32.84, and the average score of students’ cultural knowledge after the experiment is about 42.61, and the difference between the two is 9.77 points, with a p-value of 0.000, which can be obtained from the fact that students in the experimental class before and after the experiment experienced significant changes in the level of intercultural knowledge, and that this paper’s method can improve the level of students’ intercultural knowledge, and at the same time, enhance learners’ understanding of Chinese and Western language knowledge and cross-cultural knowledge.