Year
2021
Units
4.5
Contact
1 x 1-hour on-line exercises weekly
1 x 1-hour on-line lecture weekly
1 x 1-hour on-line tutorial weekly
Prerequisites
1 CRIM1102 - Criminal Justice System
2 CRIM1101 - Crime and Criminology
2a LEGL1201 - Law in Australian Society
2b LEGL1101 - Australian Justice System
3 CRIM2201 - Punishment and Society
3a CRIM2202 - Policing and Society
3b CRIM2301 - Criminal Law in Context
3c CRIM2204 - Criminal Process and the Courts
4 SOCI2025 - Social Scientific Research: Design, Methods and Ethics
4a LEGL3113 - Socio-Legal Research Methods
4b CRIM2205 - Basics of Research Design and Methods
Must Satisfy: (1 and (2 or 2a or 2b) and (3 or 3a or 3b or 3c) and (4 or 4a or 4b))
Assessment
Assignment(s), Examination(s) (% weighting = 40), Tutorial participation
Topic description

This topic provides students with an advanced understanding of research explaining how crime is organised and controlled, with particular emphasis on exploring recent developments in the area of criminal network analysis. It offers a overview of the application of network theories to the field of criminology, an assessment of empirical work examining and explaining specific forms of criminality (e.g. cybercrime, terrorism, organised crime), as well as applied methodological and analytical training in the interpretation of network crime data.

Educational aims

This topic aims to:

  • Introduce students to the central concepts relevant to the criminological literature and theories about how crime is organised and how it can be controlled
  • Provide an advanced conceptual and applied understanding of how criminal networks form, operate and proliferate in various contexts
  • Examine the practical implications of research into criminal networks for crime control
Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Identify the key principles and theoretical debates surrounding the analysis of criminal networks
  2. Apply network principles to the study of crime in specific contexts
  3. Analyse and interpret social network data using various software packages
  4. Contribute to key debates surrounding the analysis and disruption of criminal networks

Key dates and timetable

(1), (2)

Each class is numbered in brackets.
Where more than one class is offered, students normally attend only one.

Classes are held weekly unless otherwise indicated.

FULL

If you are enrolled for this topic, but all classes for one of the activities (eg tutorials) are full,
contact your College Office for assistance. Full classes frequently occur near the start of semester.

Students may still enrol in topics with full classes as more places will be made available as needed.

If this padlock appears next to an activity name (eg Lecture), then class registration is closed for this activity.

Class registration normally closes at the end of week 2 of each semester.

Classes in a stream are grouped so that the same students attend all classes in that stream.
Registration in the stream will result in registration in all classes.
  Unless otherwise advised, classes are not held during semester breaks or on public holidays.