1. Zoom Link: https://chula.zoom.us/j/7474759219 

2. Shared Drive: https://drive.google.com/drive/folders/1ahaHKlp9GocCGD14SrYp2nQD22TXSCpK?usp=sharing 

   1. get_x.ipynb

3. Midterm Score

   1. Colab

   2. Mean=36.92

4. Progress: https://docs.google.com/spreadsheets/d/1onT06veMIqMhge_3hlCr-gck1zQ6yJG16eJmzRWYyYE/edit?usp=sharing 

5. Text Books

   1. Russel, M. (2014). Mining the social web: Data mining Facebook, Twitter, Linkedin, Google , Github, and more (2nd ed.). Sebastopol, CA: O'Reilly.

   2. Zafarani, R., Abbasi, M., & Liu, H. (n.d.). Social media mining: An introduction. Cambridge University Press.

6. Slides and Links:

   1. Course Introduction (Slide)

   2. Please install selenium and chromedriver and try to run this code.

from selenium import webdriver

# from selenium.webdriver.common.keys import Keys

# driver = webdriver.Chrome('D:/Sukree/OneDrive/SourceCode/Python/chromedriver.exe')

driver = webdriver.Chrome('/Users/sukreesinthupinyo/App/chromedriver') 

6. 2. 1. Colab Example

   3. 23 Aug 23: [Week day] Fully Online, Please watch VDOs Selenium and Facebook (VDO Playlist)

      1. Zoom Session will start at 09:30 to help guide you through all processes. 

      2. No onsite class

   4. [Weekend] 27 Aug 23: Fully Online, Please watch VDOs Graph Essentail Part I (Slide, Selenium, NetworkX, Gephi, VDO Playlist)

      1. Watch the VDO from start to Walk, Tour, Path, and Cycle

      2. Try to work on networkx library

      3. No onsite class due to the construction on 20th floor.

   5. [Week Day] 30 Aug 23 

      1. Colab Link 

   6. [Weekend] 3 Sep 23

      1. Colab Link

   7. Graph Essential Part II (Slide, VDO Playlist)

      1. [Week Day] 6 Sep 23

         1. Watch VDO from Walk Tour Path and Cycle to the end of the playlist (VDO Playlist)

         2. Live Session will start at 12:00

         3. No Onsite class 

         4. Colab Review on 13 Sep

      2. [Weekend] 10 Sep 23

         1. Colab

   8. Group Discussion 

      1. Jamboard link for weekday

      2. [Weekend] 

         1. Colab

         2. Jamboard

   9. [20 Sep 23] Twitter Analysis (Colab) 

   10. Midterm Review

       1. [24 Sep 23] Weekend colab, VDO Clip

       2. [28 Sep 23] Weekday

          1. ขออภัยด้วยครับ มีนิสิตกักตัวสอบครับ ทำให้ไม่สามารถ Review ตอนเที่ยงได้ ให้ดูวิดีโออันนี้นะครับ  VDO Clip

   11. Midterm

       1. Weekend: 1 Oct 23 

       2. Weekday: 4 Oct 23

   12. Centrality (NetworkX, Gephi) (VDO Playlist)

       1. [8 Oct 23] Node Characteristic Colab (Link)

       2. [11 Oct 23] Node Characteristic Colab (Link)

   13. Project Presentation

       1. จัดกลุ่มได้ตามใจชอบ กลุ่มละ 4-5 คน

       2. Present your initial question: เล่าว่าคำถามตั้งต้นของกลุ่มตัวเอง คืออะไร (< 2 mins)

       3. Tell your friends about your techniques: เล่าให้เพื่อนฟังว่า ใช้เทคนิคอะไรในการเก็บข้อมูล ตรงนี้สำคัญมากครับ จะได้เป็นการแบ่งปันระหว่างเพื่อน ๆ ว่าสามารถใช้เทคนิคอะไรบ้าง ติดขัดตรงไหน และได้ผลเป็นอย่างไร (~5 mins)

       4. Show your findings: สามารถค้นพบอะไรบ้างที่น่าสนใจ (< 3 mins)

       5. เวลาในการ Present ไม่เกิน 10 นาที

   14. Centrality (NetworkX, Gephi) (VDO Playlist)

       1. [22 Oct 23] Eigen vector and PageRank Centrality 

          1. Eigen Vector (Colab)

          2. PageRank (Spreadsheet)

       2. [25 Oct 23] Weekday, Eigen Vector and PageRank Centrality

          1. Eigen Vector (Colab)

          2. PageRank (Spreadsheet)

   15. Text Mining (VDO Playlist) 

       1. 1 Nov 23 Progress Spreadsheet, Colab

       2. 5 Nov 23 Progress Spreadsheet, Colab, Text Classification Colab

       3. 8 Nov 23 Progress Spreadsheet, Text Classification Colab

   16. Text Clustering (VDO Playlist)

       1. 12 Nov 23 Text Classification Colab, Progress Spreadsheet

       2. 15 Nov 23 Text Classification  and Clustering Colab, Progress Spreadsheet

   17. Clustering Coefficient (Transitivity, Reciprocity, Balance and Status Theory, and Similarity) (VDO Playlist) 

       1. 19 Nov 23 Colab 

       2. 22 Nov 23 Colab

   18. Project Presentation 

   19. Network Model (1) (VDO Playlist) 

   20. IG Retrieval Source code

   21. Network Model (2) and Community Analysis (VDO Playlist) 

   22. Community Analysis (2) and Information Diffusion (VDO Playlist) 

   23. Final Exam (two hours) Sunday 10 December 2023

       1. Open Books, Notes, Computer (cannot contact other persons)

   24. Project Presentation: 1

7. Grading

   1. Three Presentations  45%

      1. Final Presentation: Dec 13, 2023 (Week day) via Zoom

      2. Final Presentation: Dec 17, 2023 (Weekend) via Zoom

   2. Midterm 20%

   3. Final Exam 35%

      1. 09:00-11:00, Dec 7, 2023 (Weekday) 18-15 ENG 4

      2. 09:00-11:00, Dec 10, 2023 (Weekend)