Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Tutorial
Module Offerings
7102COMP-JAN-CTY
7102COMP-SEP-CTY
Aims
To study how the social, technological, and natural worlds are connected.
To understand how elementary graph-theoretic concepts may help understanding the structure and certain properties of networks.
To understand the software development possibilities offered by the emergence of information and social networks environments.
Learning Outcomes
1.
Identify the main issues, techniques, and tools needed for the development of applications in the area of Information and social networks.
2.
Use mathematical techniques to model and analyse structural and dynamical properties of networks.
3.
Identify patterns of internal structure on the networks and their effects on the population.
Module Content
Outline Syllabus:Fundamental ideas from social network analysis and framing a number of graph-theoretic concepts in these terms.
Web graph, link analysis for Web search.
Empirical studies of on-line social networks.
Technical issues in social networking such as large scale network modelling and the information propagation.
Module Overview:
The aim of this module is to provide you knowledge as to how the social, technological, and natural worlds are connected. It:
The aim of this module is to provide you knowledge as to how the social, technological, and natural worlds are connected. It:
- helps you to understand how elementary graph-theoretic concepts may help understanding the structure and certain properties of networks
- enables you to understand the software development possibilities offered by the emergence of information and social networks environments
Additional Information:This course covers different scientific perspectives in its approach to understanding networks and behaviour.