This course builds on the success of the ACSPRI course: Introduction to social network research and network analysis. It expands the technical procedures of the earlier course with respect to network visualisation (graph mapping), working with large datasets and ergm statistical modelling for network data. The course requires that participants are familiar with handling SNA datasets and using UCINET and NetDraw. It uses NodeXL, Gephi, Pajek, PNet and Statnet and discusses related software packages.
The courses discusses and explores the principles and requirements of egonet and survey methodologies (Ron Burt), ‘whole network’ data collection and analysis for large networks and 2-mode (affiliation) data, ‘big data’ data mining issues and the prospects for whole population network research.
While this course is often conducted using laptops, at UQ this course is likely to be held in a computer lab. It is safe to assume that a laptop is not required for this course. ACSPRI staff will get in contact around a month prior if anything changes.
Associate Prof Malcolm Alexander is one of Australia’s leading sociologists working in the area of social network analysis and mathematical sociology. He made intensive studies of Australian business elite networks of the 1990s directed to public issues of corporate governance and investor capitalism. In recent years he has developed network analysis in new directions through his focus on 2-mode network mapping and investigations of elite networks in the civic cultures of Australian cities. He has published numerous articles in sociological journals, is the editor of two books and was also an editorial member of the Journal of Sociology and executive member and Treasurer of The Australian Sociological Association.
Introduction to social network research and network analysis.