***** To join INSNA, visit http://www.insna.org *****
Social Network Analysis 5-Day Course: Theory, Method and Applications

18-22 February 2019, Swinburne University of Technology, Hawthorn Campus, Australia

In this 5-day intensive workshop, you will learn how to conduct social network research, moving from the fundamentals of networks to how to use cutting-edge statistical network models. Some general statistical knowledge is assumed (e.g., logistic regression). You will require your own PC laptop (or Mac with Windows parallel installed. Mac OS is currently not supported by our SNA software).

The course will cover the following key themes:
Statistical Inference with network data 
Software for visualisation and analysis 
Representing network data: from basic to advanced 
Networks in action: Case studies 
Applying SNA
One-on-one consultation times and group problem solving tasks

The course includes all course exercise materials, lunch and afternoon tea.
Lecturers: Prof Dean Lusher, Dr Peng Wang, Prof Garry Robins, Dr Colin Gallagher, Dr James Coutinho, Dr Alex Stivala, Dr Maedeh Aboutelabi Karkavandi and Dr Giovanni Sadewo

Cost: $3,000 (Full-time PhD students $1,500; discounts for Swinburne staff and students who should contact Dr Peng Wang about payment by internal transfer).

Enquiries: Peng Wang, Centre for Transformative Innovation: [log in to unmask]

For more details and registration, please visit 
https://www.eventbrite.com.au/e/social-network-analysis-5-day-workshop-theory-method-and-application-tickets-52032527691?utm_campaign=new_event_email&utm_medium=email&utm_source=eb_email&utm_term=viewmyevent_button

Kind regards,

Peng Wang
Senior Research Fellow
ARC DECRA Fellow
Centre for Transformative Innovation
Faculty of Business and Law
Swinburne University of Technology
Tel: +61 3 9214 8230

_____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.