Social Network Analysis
30 Hours plus blended
One Semester or equivalent
Hawthorn
Overview
This unit aims to develop student's ability to understand the impact of social relationships in business, organisation and communities. Students will learn the theoretical foundations of social network analysis, design and conduct social network research in an applied way. Students will move from the fundamentals of networks to knowledge on how to use cutting-edge statical network models and software such as MPNet and VPNet, to gain deeper insights into network processes and improve business, organisational and community outcomes.
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
HE Block 1
Location
Hawthorn
Start and end dates
03-February-2025
16-March-2025
16-March-2025
Last self-enrolment date
03-February-2025
Census date
14-February-2025
Last withdraw without fail date
28-February-2025
Results released date
29-April-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Demonstrate coherent and advanced knowledge of social network theoretical concepts and their application
- Critically analyse and synthesise network data available for an organisation/group
- Apply knowledge of research principles and methods to design appropriate network research questions
- Critically evaluate data and present an integrated and comprehensive report as a response to the identified research question
- Apply team work knowledge and skills in effective collaboration across a range of complex activities and contexts during data analysis
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| On-campus Class | 24.00 | 1 week | 24 |
| On-campus Workshop | 6.00 | 1 week | 6 |
| Online Directed Online Learning and Independent Learning | 6.00 | 1 week | 6 |
| Unspecified Activities Independent Learning | 114.00 | 1 week | 114 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment 1 | Individual | 0% | 1,2,3 |
| Assignment 2 | Individual | 0% | 1,2,3,4 |
| Presentation | Group | 0% | 1,2,3,4,5 |
| Report | Group | 0% | 1,2,3,4,5 |
Content
- Introduction to Social Network Analysis (SNA)
- Stastistical Inference with network data
- Software for network visualistion and analysis
- Representing network data: Network Visualisation
- Networks in action: Case Studies
- Network Stastistical modelling using MPNet sofrware
- Assess key differences between analyses using tradional methods of SNA
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.