Type of Credit: Elective
Credit(s)
Number of Students
This course is interdisciplinary, covering the mathematical foundations of social network analysis (SNA), including SNA data collection and data analysis processes. Various SNA methods will be introduced, and then students will be encouraged to collaborate with other students from different fields in several workshops as well as active participation in various activities throughout the course. Students who enjoy interdisciplinary learning processes are encouraged to enroll. Active participation and frequent inquiries during classes are also expected. Toward the end of the course, students will have the option to apply the knowledge gained to complete group projects. The course aims to provide a high level of learning achievement, allowing students to find satisfaction in their academic progress.
能力項目說明
|
Week |
Topic |
Content and Reading Assignment |
Teaching Activities and Homework |
Student workload expectation |
|
|
In-class Hours |
Outside-of-class Hours |
||||
|
W1 - Sept 01 |
Introduction |
Syllabus Review / Intro. to Social Media / Data Collection and Data Management |
ASN Chs 1, 4-5 |
3 |
4.5 |
|
W2 - Sept 08 |
Guest Talk (online) / Dates to participate in full/half-day workshops, held on Saturday (2~3 times), will be determined and announced soon. Note: The entire course is designed to provide a total of 54 hours of learning time (16×3 + 6 hours) for the students. |
3 |
4.5 |
||
|
W3 - Sept 15 |
Perspectives of Social Media and Interaction Design |
Research Design |
ASN Ch3 |
3 |
4.5 |
|
W4 - Sept 22 |
Visualization |
ASN Ch7 |
3 |
4.5 |
|
|
W5 - Sept 29 |
Interactivity Design Essentials (1/2) |
ID Chs 3~7 |
3 |
4.5 |
|
|
W6 - Oct 06 |
Mid-Autumn Festival (NO CLASS) Group project proposal (video links or PPT recordings) |
Online resources |
0 |
9 |
|
|
W7 - Oct 13 |
Perspectives of Social Media and Evaluation |
Interactivity Design Essentials (2/2) |
ID Chs 10~14 |
3 |
4.5 |
|
W8 - Oct 20 |
Intro. to Inferential Statistics |
ASN Ch14 |
3 |
4.5 |
|
|
W9 - Oct 27 |
Guest Talk: Topic to be announced. |
|
3 |
4.5 |
|
|
W10 - Nov 03 |
Perspectives of Social Media and Statistics |
Local/Group Node-level Measures |
ASN Chs 8, 10 |
3 |
4.5 |
|
W11 - Nov 10 |
Centrality |
ASN Ch 9 |
3 |
4.5 |
|
|
W12 - Nov 17 |
Subgroups and Community Detection |
ASN Ch11 |
3 |
4.5 |
|
|
W13 - Nov 24 |
Equivalence |
ASN Ch12 |
3 |
4.5 |
|
|
W14 - Dec 01 |
AI-Powered SM Marketing |
Content Creation |
Online resources |
3 |
4.5 |
|
W15 - Dec 08 |
Engagement and Insights |
3 |
4.5 |
||
|
W16 - Dec 15 |
Course Overview / Learning Feedbacks and Reflection Group project presentation (video links or PPT recordings) |
3 |
4.5 |
||
40% Workshop Participation - TBA
20% Individual Practices - two times in W6 and W12
10% Group project proposal - W6
30% Group project presentation - W16
Textbooks
Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F. (2024). Analyzing social networks (3rd eds). SAGE Publications Asia-Pacific Pte Ltd. [ASN]
Rogers Y, Sharp, H., & Preece, J. (2023). Interaction design: Beyond human-computer interaction (6th eds.). Wiley & Sons Inc. [ID]
References
• NCCU Moodle
• UCInet Software https://sites.google.com/site/ucinetsoftware/home
• Steve Borgatti https://sites.google.com/site/steveborgatti/home
• Social Network Analysis by Duke University's Mod-U channel on YouTube
https://www.youtube.com/playlist?list=PL1M5TsfDV6Vs7tnHGNgowEUwJW-O8QVp5
• The Historical Network Research Community https://www.youtube.com/@HistoricalNetworkResearch
• Network Culture https://networkcultures.org/geert/