Podcast
Questions and Answers
What is a key assumption of traditional social science analysis methods?
What is a key assumption of traditional social science analysis methods?
- Data is dependent
- Data independence is assumed (correct)
- Social relations are crucial
- Network perspective is highlighted
Which of the following best describes the focus of network analysis?
Which of the following best describes the focus of network analysis?
- Monadic patterns
- Individual attributes
- Affordances of technology
- Interpersonal relationships (correct)
What perspective does network analysis adopt compared to traditional research methods?
What perspective does network analysis adopt compared to traditional research methods?
- Competitive rather than complementary
- Simple instead of complex
- Dependent rather than independent (correct)
- Quantitative instead of qualitative
Which disciplines are involved in Network Science as mentioned?
Which disciplines are involved in Network Science as mentioned?
According to the view of social life expressed by Peter M. Blau, what do social relations allow individuals to accomplish?
According to the view of social life expressed by Peter M. Blau, what do social relations allow individuals to accomplish?
What type of attributes does mainstream social science focus on?
What type of attributes does mainstream social science focus on?
Which of the following is NOT a focus area of Prof. Wang Xiaohui's research and teaching interests?
Which of the following is NOT a focus area of Prof. Wang Xiaohui's research and teaching interests?
In social network analysis, what is considered the main type of relationship?
In social network analysis, what is considered the main type of relationship?
What is one of the main objectives of the course?
What is one of the main objectives of the course?
What is required for meaningful class participation?
What is required for meaningful class participation?
What will happen if a student commits plagiarism?
What will happen if a student commits plagiarism?
What type of resources are required for the course?
What type of resources are required for the course?
What is the significance of the lecture notes provided?
What is the significance of the lecture notes provided?
What is the expected structure of each lecture?
What is the expected structure of each lecture?
What is indicated about the late drop policy for courses?
What is indicated about the late drop policy for courses?
Why is it recommended to print lecture notes before class?
Why is it recommended to print lecture notes before class?
Which attribute is an example of a cognitive relation?
Which attribute is an example of a cognitive relation?
What is a key characteristic of networking perspectives?
What is a key characteristic of networking perspectives?
In the context of networks, what do 'nodes' represent?
In the context of networks, what do 'nodes' represent?
What do edge connections in a graph represent?
What do edge connections in a graph represent?
What is NOT a characteristic of social media as discussed?
What is NOT a characteristic of social media as discussed?
Which of the following is a method for understanding networks in social dynamics?
Which of the following is a method for understanding networks in social dynamics?
Which of the following statements about biological networks is true?
Which of the following statements about biological networks is true?
What is a plausible application of big data analytics derived from social media?
What is a plausible application of big data analytics derived from social media?
What is the weight assigned to individual assignments in determining the course grade?
What is the weight assigned to individual assignments in determining the course grade?
Which assessment method involves working independently to solve analytical or empirical questions?
Which assessment method involves working independently to solve analytical or empirical questions?
What percentage of the midterm quiz content is derived from lectures?
What percentage of the midterm quiz content is derived from lectures?
What are students required to do as part of the final group project?
What are students required to do as part of the final group project?
What will happen if a student misses a quiz without prior notification?
What will happen if a student misses a quiz without prior notification?
Which component of the course grade specifically measures attendance and participation in discussions?
Which component of the course grade specifically measures attendance and participation in discussions?
What is required for a student to be allowed to schedule a make-up quiz?
What is required for a student to be allowed to schedule a make-up quiz?
What kind of questions will be included in the midterm quiz?
What kind of questions will be included in the midterm quiz?
What is a key expectation regarding the timeline for completing the group project?
What is a key expectation regarding the timeline for completing the group project?
What is the maximum percentage of extra credit points that can be earned from activities outside of regular assignments?
What is the maximum percentage of extra credit points that can be earned from activities outside of regular assignments?
Which of the following is a necessary component when submitting the group report?
Which of the following is a necessary component when submitting the group report?
Which of the following activities is not permitted when using ChatGPT in class?
Which of the following activities is not permitted when using ChatGPT in class?
What is a potential problem in group projects that should be addressed early?
What is a potential problem in group projects that should be addressed early?
What should students do to increase their chances of excelling in the course?
What should students do to increase their chances of excelling in the course?
How many students should a group ideally consist of for the project?
How many students should a group ideally consist of for the project?
During which week is the midterm exam scheduled?
During which week is the midterm exam scheduled?
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Study Notes
Course Information
- Professor: Wang Xiaohui, Vincent
- Teaching Assistant: Cong MA
- Email: [email protected]
- Office: CMC M5-056
- Office Hours: Monday 9:30am-12:30pm and Wednesday 9:30am-12:30pm
- Course: GE2234 Social Networks for Media, Business and Technological Applications
- E-learning platform: CANVAS
- Plagiarism: Not tolerated
- Late drops: Only under exceptional circumstances
Course Objectives
- Describe and explain basic theoretical concepts and research methods of social and complex networks
- Collect, analyze, interpret, discover, and visualize social network data for real-life problems
- Apply theoretical perspectives and methodological approaches in social, business, or engineering contexts
- Present research findings, discoveries, and case studies in a professional quality and style
Course structure
- Lectures: 1.5-2.0 hours
- In-class exercises or group discussions: 1.0-1.5 hours
Assessment methods
- Continuous assessment: 10%
- Includes class attendance and discussion, which are designed to measure how well students have learned the concepts and techniques of the course
- Individual Assignments: 30%
- Students will work independently to solve 2 sets of analytical or empirical questions (e.g., structure and characteristics of given social networks), to demonstrate ability to apply networking theories and methods
- Midterm quiz: 30%
- Quiz will test students’ facility with theoretical concepts and analytical skills
- Final Group Project: 30%
- A) Identify a real-life problem in which social networks play an important role
- B) Collect necessary and relevant data to test possible effects of networking factors on the problem
- C) Produce a research report based on the case study
- D) Present the results to class
Required Textbooks
- David Easley and John Kleinberg (2010). Networks, Crowds, and Markets: Reasoning about a Highly Connected World. (EK)
- Robert Hanneman and Mark Riddle (2005). Introduction to Social Network Methods. Riverside, CA: University of California, Riverside. (HR)
Course Materials
- Readings do not necessarily overlap with lecture content and could be supplementary
- Essential to read all readings before each week’s meeting as some in-class quiz questions cover the readings
- Lecture notes are available on CANVAS
Midterm Quiz
- Closed-book, closed-notes
- Questions will be drawn from both lectures (80%) and the readings (20%)
- Contains multiple choice and True/False questions
- Emergency situation notification is required for make-up
Group Projects
- Work in a group of 5-6 students
- Design and conduct a survey project
- Potential problems including free riders
- Labor divide table is required when submitting the group report
Extra Points
- May be awarded to students who actively participate in class activities
- Can be earned from research participation during the semester
- May not exceed 3% of the overall grade points
Tips for success
- Keep up with readings
- Attend every lecture
- Take all exams
- Start on research project early
- Keep in touch with the instructor and the TA
Course Schedule
- Week 1: Introduction and Basic Concepts
- Week 2: Centrality Measures
- Week 3: Weak Ties
- Week 4: Cohesive Subgroups
- Week 5: Homophily and Small-World
- Week 6: Scale-Free Network
- Week 7: Reading Week
- Week 8: Collecting Network Data
- Week 9: Case study: News Networks
- Week 10: Case study: Similarity Networks
- Week 11: Case study: Co-occurrence Network
- Week 12: Group Presentation
- Week 13: Group Presentation
Analytics Tools
- NoSQL
The Use of ChatGPT in class
- For R code: encouraged
- For brainstorming and background check: encouraged
- For writing reports: forbidden
- For QA without processing: NO
- For data analysis: impossible
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