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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://urldefense.proofpoint.com/v2/url?u=https-3A__www.eventbrite.com.au_e_social-2Dnetwork-2Danalysis-2D5-2Dday-2Dworkshop-2Dtheory-2Dmethod-2Dand-2Dapplication-2Dtickets-2D52032527691-3Futm-5Fcampaign-3Dnew-5Fevent-5Femail-26utm-5Fmedium-3Demail-26utm-5Fsource-3Deb-5Femail-26utm-5Fterm-3Dviewmyevent-5Fbutton&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=evD4TZnkiH1YhClGj3xKzLVEq_V9WVPBsY-3RLMQzHk&s=r0XsiRJ0kkxgsTaWOb_d6iKuzsnEUlyfdzwM70tSj1M&e=

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

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