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 consulting data scientist working on retail analytics, social media data science, and forays into deep learning, as well as codeveloping the DeepLearnR package interfacing R over TensorFlow/Skflow. Previously, Krishna was a chief data scientist at Blackarrow.tv, where he focused on optimizing user experience via inference, intelligence, and interfaces. Earlier stints include principal architect/data scientist at Tata America Intl., director of data science at a bioinformatics startup, and distinguished engineer at Cisco. He is a frequent speaker at conferences, including Spark Summit, Spark Camp, OSCON, PyCon, and PyData, on topics such as predicting NFL winners, Spark, data science, machine learning, and social media analysis, as well as a guest lecturer at the Naval Postgraduate School. Krishna’s occasional blogs can be found at Doubleclix.wordpress.com. His other passion is Lego robotics. You will find him at the St. Louis First Lego League World Competition as a robot design judge.
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