This course provides an introduction to the quantitative and practical study of social networks. We will cover classic and contemporary studies, starting with fundamental definitions and models in layman terms, and then going through a range of topics, including models of network formation and structure (homophily, foci, communities), dynamic processes on networks (contagion, influence, disease models), social network-based knowledge discovery systems (affiliation, collaborative, personal, online networks), and network sampling and data collection in a data analytics approach. The course material is intended to be of interest to students from a wide range of disciplinary backgrounds, including business, engineering, sociology, science, and related fields.
This is available at the CUHK library.
The text/reference should not be treated as a substitute for the lectures. The lectures may present the material covered in the text in a different manner, or deviate from it entirely. You should take your own notes in class.
The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. For information on categories of offenses and types of penalties, students should consult the following link: .
Your final letter-grade will be determined by your point Ranking viz. your final score (out of 100 points). The total score for your course grades is distributed as follows:
Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
---|---|---|---|---|---|---|
1 | 2 | |||||
3 | 4 | 5 | 6 | 7 | 8 | 9 |
10 | 11 | 12 | 13 - Lecture 1 | 14 | 15 | 16 |
17 | 18 | 19 | 20 - Lecture 2 | 21 | 22 | 23 |
24 | 25 | 26 | 27 - Lecture 3 | 28 | 29 | 30 |
31 |
Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
---|---|---|---|---|---|---|
1 | 2 | 3 - Lecture 4 | 4 | 5 | 6 | |
7 | 8 | 9 | 10 - Lecture 5 | 11 | 12 | 13 |
14 | 15 | 16 | 17 | 18 | 19 | 20 |
21 | 22 | 23 | 24 - Lecture 6 | 25 | 26 | 27 |
28 |
Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
---|---|---|---|---|---|---|
1 | 2 | 3 - Lecture 7 | 4 | 5 | 6 | |
7 | 8 | 9 | 10 - Lecture 8 | 11 | 12 | 13 |
14 | 15 | 16 | 17 - Lecture 9 | 18 | 19 | 20 |
21 | 22 | 23 | 24 - Lecture 10 | 25 | 26 | 27 |
28 | 29 | 30 | 31 |
Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
---|---|---|---|---|---|---|
1 | 2 | 3 | ||||
4 | 5 | 6 | 7 | 8 | 9 | 10 |
11 | 12 | 13 | 14 - Presentation | 15 | 16 | 17 |
18 | 19 | 20 | 21 - Presentation | 22 | 23 | 24 |
25 | 26 | 27 | 28 | 29 | 30 |
There will be three graded homework assignments.
Please note that you MUST do the whole homework entirely by yourself. In case of difficulty, you may consult the instructor and the tutors during their office hours. Any answers that show evidence of having been done with others will receive a score of zero; stronger action may also be taken (visit ). Don’t copy the work of others! Be neat, concise and well-organized.
Late homework answers will NOT be graded, and will receive a score of zero.
Once you have enrolled your course, we will send you a username and password to access your online learning resources.