Social network analysis refers specifically to online social network analysis (Online Social Network Analysis). The development of this science was born with the advent of online social network services (SNS). We are exposed to social media every day. Through this course, we learned the importance of social network and social media analysis.
The core task of this course is to write an opinion analysis of 17 United Nations Sustainable Development Goals, and then analyze how social network analysis can help solve the 17 goals of the United Nations sustainable development. Finally, through the comments between classmates, analyze the emotions of your comments and analyze your position in the social network. Finally, we divided into 4-5 groups to complete a project. In this project, we analyze and discuss a social media research report, analyze the data collection method, the number of data collection, the data analysis method, and the final conclusions, and give a lecture.
In the first assignment, we analyzed the comments of our blog. By collecting comments, and then through the technology of NLP sentiment analysis. We will obtain positive vocabulary and negative vocabulary, then add points through positive vocabulary, and reduce points through negative vocabulary. Finally, I get a score greater than 0, proving that most of the positive comments I received are positive.
In the second assignment, we want to analyze the interaction between me and my classmates.
The final result is as follows
In-degree of my node is 7.
The out-degree of my node is 5.
The closeness centrality of the node representing me is: 0.4272013949433304.
The shortest path between nodes representing me is: 0.00745079365647456.
According to the above results, it shows that I often comment on fixed people, and I am not the center of socializing.
This course is particularly interesting, you can learn the technology of social media, you can also learn the technology of programming. The most important thing is to participate in the whole process of data production, data collection and data analysis, and have a comprehensive understanding of social network analysis.
shenshen 