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42913 Social and Information Network Analysis

6cp; 3hpw (1.5hr seminar, 1.5hr lab, tutorial), on campus, standard
Requisite(s): 120 credit points of completed study in spk(s): C09067 Bachelor of Engineering (Honours) Diploma Professional Engineering Practice OR 120 credit points of completed study in spk(s): C09066 Bachelor of Engineering (Honours) OR 120 credit points of completed study in spk(s): C10148 Bachelor of Science Information Technology OR 120 credit points of completed study in spk(s): C10345 Bachelor of Science Information Technology Diploma Information Technology Professional Practice OR 120 credit points of completed study in spk(s): C10061 Bachelor of Engineering Diploma Engineering Practice OR 120 credit points of completed study in spk(s): C10066 Bachelor of Engineering Science OR 120 credit points of completed study in spk(s): C10067 Bachelor of Engineering OR 120 credit points of completed study in spk(s): C09119 Bachelor of Computing Science (Honours) OR 120 credit points of completed study in spk(s): C10219 Bachelor of Business Bachelor of Science Information Technology OR 120 credit points of completed study in spk(s): C10239 Bachelor of Science Information Technology Bachelor of Arts International Studies OR 120 credit points of completed study in spk(s): C10245 Bachelor of Science Information Technology Bachelor of Laws OR 120 credit points of completed study in spk(s): C10327 Bachelor of Science Information Technology Bachelor of Creative Intelligence and Innovation
These requisites may not apply to students in certain courses. See access conditions.

Description

In social and economic lives, everything (e.g. people, information, business, events) is becoming more and more connected with the development of technologies such as social networks (e.g. Facebook, Twitter) and information networks (e.g. the Web). A practical way of making sense of these types of data is to analyse them as networks.

This subject introduces the students to basic concepts in social and information networks, metrics to characterise networks, models to explain the generation of networks, and methods to analyse networks. The students learn to use software tools to visualise and analyse real-world network data. The subject also introduces a wide variety of applications in social and information networks such as user recommendation and web search.

Typical availability

Autumn session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.