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Created bySudarshan Iyengar
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The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online social networks, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information. They encompass surprising secrets which have been time and again revealed with the help of tools like graph theory, sociology, game theory etc. The study of these graphs and revelation of their properties with these tools have been termed as Social Network Analysis.
Some of the surprising observations and beautiful discoveries achieved with Social Network Analysis are listed below.
As one can see through above examples, the study of networks has penetrated into all spheres of our life. The course revolves around thestudy of some well-known theories of social and information networks and their applications on real-world datasets. Not only does the course introduces you to the current advancement in the field, but paves a way for you to take this advancement one step further.
Moreover, the course is highly programming intensive. Not to worry, we do not assume the students to know Python before hand and provide even the basic tutorials for this language. Hence, it is also a great way to learn this powerful programming language. The course takes you from the most basic functionality of Python to the most advanced one where the students are able to code a real word dataset crunching algorithm on their own.
By the end of the course, you will
Towards the end of the course, a couple of ongoing research projects in this area will also be discussed. We also aim at providing the top scorers an opportunity to collaborate with us. So, please do write to us if you are interested to pursue research in this area.
To access the content, please enroll in the course.
Course Syllabus & Schedule