It is about the topic “Measuring Information Flow in Networks using Topic Modeling and Mutual Information.” According to the details in the email from the teacher, you need to write a report on this topic. The cover should be formatted like the sample provided below; I will fill in specific details such as student ID and name myself. This assignment is not part of a course but is instead a summer project. My major is Engineering Management, which covers a broad range of areas. The text highlighted in blue is the project background, and I have a preference for topics related to NLP and large language models.
details in the email from the Professor is attached below:
1.Thanks for your interest. I am happy to take you for the project. The success completion of the project highly depends on your coding skills and data science practice. Please take your time to review the following code repo and the associated paper: https://github.com/luo-lorry/Mutual-Information-Network-Inequality-Measure
2.Please send your student id to me for the course registration. For preparation, I suggest that you follow the steps: find a suitable citation network dataset, familiarize yourself with the network python package for graph construction, and understand the mutual information measure for networks. If you have any questions, please let me know.
3.I have submitted your student id to the department for course registration. For your first task, please thoroughly review the attached paper, rerun the experiments available on GitHub, and familiarize yourself with citation network datasets.
After you finish the first task, you will need to use the same citation network data and apply the techniques introduced in the paper (https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.187402) to conduct an analysis. You are expected to present preliminary results by the end of July.
Instruction and rubric:
For your first task, please thoroughly review the attached paper, rerun the experiments available on GitHub, and familiarize yourself with citation network datasets.
After you finish the first task, you will need to use the same citation network data and apply the techniques introduced in the paper (https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.187402) to conduct an analysis. You are expected to present preliminary results by the end of July.
For preparation, I suggest that you follow the steps: find a suitable citation network dataset, familiarize yourself with the network python package for graph construction, and understand the mutual information measure for networks.
The success completion of the project highly depends on your coding skills and data science practice. Please take your time to review the following code repo and the associated paper: https://github.com/luo-lorry/Mutual-Information-Network-Inequality-Measure
You need to read all the materials, including the code section, the email above, the instructions above, and the attached PDF below, to fully understand the project before writing.
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