A network science approach to correlations between course achievement and community structure in school friendship networks
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in this research we examine a secondary school social network. We apply social network analysis (SNA) techniques on the close friendship structure of the students. Our aim is to answer the following questions regarding the network. The first question is what are the mixing values with respect to test achievement scores gender and class. The second question is how are the communities in the network structured. Such findings can be significant assets in understanding and improving the learning environment. They may be used to help teachers and school managers in deciding more workable and efficient student matchings. For this study we conducted a survey to a group of 10th grade students and gathered the necessary information to construct the social network around the school. Our findings show that the friendship in overall network is neither assortative nor disassortative with respect to academic success in other words the two attributes are not correlated. On the other hand gender and class mixing measures are significantly high which not surprisingly suggests that the students prefer to bond with their classmates and also with the same gender friends. Finally after examining the communities within each classroom we observe similar community structures. in the light of these findings we propose a method for composing the classrooms to construct an efficient and successful learning environment.