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An introduction to Social Network Analysis: Methods and Applications

دکتر علیرضا عباسی

 Dr. Alireza Abbasi has got his PhD recently from the Centre for Complex Systems Research in the Faculty of Engineering and IT at The University of Sydney and now is a Lecturer (Assistant Professor) at the School of Engineering and IT at The University of New South Wales (UNSW Australia) in Canberra. Alireza received his M.Sc. in Engineering from the Department of Industrial and Management Engineering at Seoul National University (South Korea)in August, 2008 and received my B.Sc. in Computer (Software) Engineering from the Department of Computer and Electrical Engineering at Isfahan University of Technology (Iran) in August, 2002. Dr. Abbasi’s primary research interest covers a wide range of topics in Network Science, Data Science, and Information Systems Management, namely: Complex Systems (Networks); Social Network Analysis; Networks Dynamics; Complex Adaptive Systems; ICT for Management; Knowledge Management / Information Systems; Social Media Analytics; Performance Management; Collaboration and Coordination Management; Project Management; Disaster and Emergency Management; Informetrics 

 
An introduction to Social Network Analysis: Methods and Applications
مسئول برگزاری: محمد حسین منشئی
محل: سالن اجتماعات دانشکده برق و کامپیوتر / تاریخ: 1395-11-10 / زمان: 12:30 بعدازظهر

Network science has evolved significantly over the past decades as a leading scientific field to understand and analyse complex systems, which affects our daily life, such as infrastructure and transportation networks, Internet, epidemic spreading and immunization strategies, structure of financial markets, structure of mobile communication network, opinion dynamics.  This presentation briefly introduces various concepts, methods, and applications of social network analysis (SNA).   Topics to be discussed include an introduction to graph theory and the use of directed graphs to study structural theories of actor interrelations; structural and locational properties of actors (e.g., centrality measures); measuring networks; and a brief introduction to network models.  Some examples of using SNA to study academic collaborations and disaster response operations will be presented.



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