• MMAT5370

  • Social and Economic Networks: Theory, Modelling and Computations

E-mail
jwong@math.cuhk.edu.hk
Office
Lady Shaw Bldg 208
Phone extension
3943 7987
Lecturer's office hours
Please email me to arrange an appointment.
Teaching Assistant
E-mail
Office
Phone extension
TA's office hours
Please email me to arrange an appointment.

Teaching Assistant
E-mail
Office
Phone extension
TA's office hours
Please email me to arrange an appointment.

Course Information

Course Outline

This course provides an overview of quantitative methods appropriate for the data analysis of social and economic networks. Many social and economic activities are embedded in networks because datasets with graph-theoretic structures are increasingly available to practical users. Two of the main goals are to study:

  • How to describe, summarize, and visually present network data using computing software such as MATLAB, Python, and/or R.
  • Formal econometric models of network formation that account for heterogeneity, strategic behavior, and/or dynamics.

Theoretical, statistical, mathematical, and computational models and their applications to social and network data from development and labor economics are studied. Essential topics and case studies are selected from, but not limited to, network formation, peer effects and the social multiplier, social capital and trust, information aggregation in networks, social learning, trading in networks, technology diffusion, job search, and other related topics.

This course assumes no prior experience with programming.

Text and References

Reading List: This will be updated during the academic year.

The text/references is/are 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 differently or deviate from it entirely. You should take your own notes in class.

Academic Offenses

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: .

Assessment

Your final letter-grade will be determined by the criterion-referenced assessment.

Class Participation and Lab Assignment Activities
15%
Please visit our calendar website for the specified dates of our lab assignments.
(There are 5 lab assignments; we will take the best 4 lab assignment scores out of the five).
Homework
15%
(There are three homework assignments; 5% for each).
Midterm Test
20%
from 7:45 pm - 9:00 pm, October 21, 2024
Final Test
50%
from 6:45 pm - 8:45 pm, December 2, 2024

Important Remarks

  • If you are found cheating on lab and homework assignments, you will automatically receive an F grade in this course, and your actions will be reported to the Department for necessary disciplinary actions.
  • To prevent copying of programs, your submissions may be spot-checked. This means you could be asked questions about the statements in your program.To avoid copying of programs, your programs may be spot-checked, i.e., you will be asked questions regarding the statements in your program.
  • Please do not allow others to copy your programs or results, as we cannot determine who is copying whom, and you may be held liable for the penalties.

Course Format

  • The course consists of 13 lectures; the last class is a review lecture from 6:30 pm – 9:15 pm.
  • We will have 2 hours and 45 minutes for our lectures on the dates below:
    • September 2
    • September 9
    • September 23
    • October 7
    • October 21
    • October 28
    • November 11
    • November 25

  • There are five labs conducted during the lectures, with these five regular classes split into three parts.
    • The first lab class runs from 5:30 pm – 6:15 pm.
    • The lecture class runs from 6:30 pm – 8:20 pm.
    • The second lab class runs from 8:30 pm – 9:15 pm.

  • Using a lucky draw, we will assign 60 students to the first session, and the remaining students to the second session. All lab activities are in LSB232B.
  • There are five lab assignments and each lab assignment, together with class participation activities, is worth 15% out of 100%. We will have 1 hour and 50 minutes for our lecture. Here are the dates:
    • September 16
    • September 30
    • October 14
    • November 4
    • November 18

  • The questions to be answered will be selected and presented from the previous week’s lecture materials. There are two sets of problems covered in the lab assignment. The first set contains review exercises as a group activity, where we will work through the problems together. The second set contains a few open-ended questions that will test your understanding of the teaching materials.
  • There are three graded homework assignments, each worth 5% of the total grade. A midterm written closed-book examination will be given on October 21, 2024. The midterm examination lasts from 7:45 pm to 9:00 pm and is worth 20% of the total grade. A final written closed-book examination will be given on December 2, 2024. The final examination lasts from 6:45 pm - 8:45 pm and is worth 50% of the total grade.
  • Please attend our lectures and labs regularly. If you miss two or three lectures and lab assignments in a row, you will have a very hard time following the lecture materials and completing lab assignment problems later on. Before taking this course, you must check your Monday timetable and personal activities to ensure you are available during our scheduled teaching periods.

Calendar

Important Dates

September 2024

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 2 - Lecture 1 3 4 5 6 7
8 9 - Lecture 2 10 11 12 13 14
15 16 - Lecture 3 & Lab 1 17 18 - Chinese Mid-Autumn Festival 19 20 21
22 23 - Lecture 4 24 25 26 27 28
29 30 - Lecture 5 & Lab 2

October 2024

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 - National Day 2 3 4 5 6
6 7 - Lecture 6 8 9 10 11 - Chung Yeung Festival 12
13 14 - Lecture 7 & Lab 3 15 16 17 18 19
20 21 - Lecture 8 & Midterm 22 23 24 25 26
27 28 - Lecture 9 29 30 31

November 2024

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 2
3 4 - Lecture 10 & Lab 4 5 6 7 8 9
10 11 - Lecture 11 12 13 14 15 16
17 18 - Lecture 12 & Lab 5 19 20 21 22 23
24 25 - Lecture 13 26 27 28 29 30

December 2024

Sunday Monday Tuesday Wednesday Thursday Friday Saturday
1 2 - Final Examination 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 31

Homeworks

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.

Please click the links below to download the homework.

Lecture Notes

Once you have enrolled in the course, we will send you a username and password to access your online learning resources.

Please click the link below to download the lecture notes.

Jeff Chak-Fu WONG, Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong.