We will explore properties of networks that are relevant to Social Network Analysis using the Tweeter APIs. The tutorial will first introduce the Twitter API starting with the objects and then the API calls, focusing on SNA primitives. We will then dive into applying Social Network Analysis mechanisms like Cliques over the Twitter API primitives like friends, followers & trends. Python & MongoDB will be used during our programming work. For working through the hands-on sessions, install Python 2.7, requests library for python, MongoDB & pymongo.
Krishna Sankar is a Chief Data Scientist at blackarrow.tv, where he is focusing on enhancing use experience via inference, intelligence & interfaces. Earlier stints include Principal architect/Data Scientist/Tata America Intl, Director of Data Science/Bioinformatics startup & as a Distinguished Engineer/Cisco. He has been sparking at various conferences (OSCON,pycon,pydata) about predicting NFL [http://goo.gl/QCpaO8], Spark[http://goo.gl/E4kqMD], Data Science [http://goo.gl/9pyJMH], Machine Learning [http://goo.gl/SXF53n], Social media Analysis [http://goo.gl/D9YpVQ] as well as has been guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics – you will find him at the St.Louis FLL World Competition as Robots Design Judge.
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