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Analysing Networks (ARTS90016)
Graduate courseworkPoints: 6.25On Campus (Parkville)
Overview
| Availability | May |
|---|---|
| Fees | Look up fees |
Networks come in many shapes and sizes, from social media linking friends together virtually, to transnational agreements between governments. Networks all consist of a set of nodes (people, organizations, governments) that are connected by a set of ties (formal and informal relationships of different kinds), and they have more or less clear boundaries. This intensive course aims to introduce students to network concepts and analytical techniques. It covers why students might study networks, how to identify various types of networks (social networks, inter-organizational networks, and governance networks), different methods for collecting network data (text, interview, survey, or web-based) and various techniques for analysing these data.
Intended learning outcomes
On successful completion of this subject, students should have:
- enhanced knowledge of types of networks, and how to conceptualise and analyse them;
- an ability to reflect upon their own research work in relation to network theory and network analysis; and
- enhanced engagement with leading-edge research that uses networks to examine social structures of various kinds and in different contexts.
Generic skills
The subject will contribute, through teaching and discussion with academic staff and peers, to developing skills and capacities including those identified in the University-defined Graduate Attributes for the PhD, in particular:
- the capacity to contextualise research within an international corpus of specialist knowledge;
- an advanced ability to engage in critical reflection, synthesis and evaluation of research-based and scholarly literature; and
- an advanced understanding of key disciplinary and multi-disciplinary norms and perspectives relevant to the field.
Last updated: 3 November 2022