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課程名稱 |
社群媒體與社會網絡分析
Social Media and Social Network Analysis |
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開課學期 |
112-1 |
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授課對象 |
社會科學院 新聞研究所 |
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授課教師 |
劉好迪 |
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課號 |
JOUR7094 |
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課程識別碼 |
342EM3100 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期五7,8,9(14:20~17:20) |
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上課地點 |
新聞308 |
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備註 |
本課程以英語授課。
限碩士班以上
總人數上限：15人
外系人數限制：5人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
IMPORTANT: IF YOU COULD NOT BOOK THE CLASS - USE THIS FORM - WILL THEN GET IN TOUCH WITH YOU: https://forms.gle/4U1Fqb2S3Wnm2XW96
You can also directly contact me: adrian.rauchfleisch@gmail.com
This course provides an in-depth examination of social media data analysis focusing on social network analysis. You will learn how to utilize the R programming language to collect, process, and analyze digital trace data, with practical examples that can be applied in fields such as data-driven journalism and business analytics. The course begins with an introduction to R and progresses to cover topics such as reading data, performing statistical procedures, and visualizing results with high-quality plots. You will also learn how to collect data from Twitter using R and techniques for working with text data, such as using regular expressions. In the final block of the course, you will have the opportunity to plan and work on your own project, and the course will conclude with a presentation of state-of-the-art methods in the field. |
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課程目標 |
Introduction to R
Data analysis and visualization of digital trace data
Twitter data can be collected automatically
Learn new methods
Text mining? |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： We will be using Slack for communication in this class. Feel free to reach out to me at any time if you have any questions or encounter any problems. |
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指定閱讀 |
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參考書目 |
Chang, W. (2018). R graphics cookbook: Practical recipes for visualizing data (Second edition). O’Reilly.
Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets: Reasoning about a highly connected world.
Healy, K. (2018). Data visualization: A practical introduction. Princeton University Press.
Sanchez, G. (2013). Handling and processing strings in R. Berkeley: Trowchez Editions. http://gastonsanchez. com/Handling_and_Processing_Strings_in_R. pdf
Wickham, H. (2019). Advanced R (Second edition). CRC Press/Taylor and Francis Group.
Zweig, K. A. & Springer-Verlag. (2018). Network Analysis Literacy A Practical Approach to the Analysis of Networks. |
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評量方式
(僅供參考) |
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