The Art of Social Media Analysis with Twitter & Python

Data
Location: E145-146
Presentation: external link
Average rating: **...
(2.33, 12 ratings)

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.

Outline:

  • Networks, Twitter and Analytics – The Basics
  • Mechanics : Twitter Objects, API & Python
  • SNA Mechanisms & Twitter Primitives
  • Conclusion & Future Work
Photo of Krishna Sankar

Krishna Sankar

TCS

Krishna Sankar is currently a Lead Software Engineer/Data Scientist at genophen.com developing scientific/consumer bioinformatics systems based on AWS, MongoDB & HKrishna Sankar is currently a Principal Architect/Data Scientist with the NextGen Big Data group at Tata Consultancy Services . Prior to this he was Director of Engg/Data Science at a startup, working on bioinformatics/consumer applications in AWS. He also has worked at Egnyte as a Lead Architect, developing cloud object store layer (handling billions of files/petabytes of storage) and security (federated Identity/SSO); and before that he was at Cisco as a Distinguished Engineer, lastly working on various aspects of Big Data and Cloud Computing. Krishna’s recent speaking engagements include OSCON 2012 Social Media Analysis with Twitter[http://goo.gl/mFflw], OSCON 2011 –Hitchhiker’s Guide to Kaggle[http://goo.gl/75X7w] & OSCON 2010 [http://goo.gl/8Ukiw] as well as guest lecturing at the Naval Postgraduate School on Big data [http://goo.gl/2pBYS]. His interests include big data stacks – from infrastructure to visualization, highly scalable cloud architectures & intelligent inferences. In his spare time, he is pursuing the Mining Massive Data Sets Graduate Certificate at Stanford. He also writes books – including “Cisco Wireless LAN Security” and “Enterprise Web 2.0”. His other passion is Lego Robotics and is contributing as Technical Judge in local & Lego world competitions.adoop. Prior to this, he was a Lead Architect at egnyte.com, developing cloud object store layer (handling billions of files/petabytes of storage) and security (federated Identity/SSO); and before that he was at Cisco as a Distinguished Engineer, lastly working on various aspects of Big Data & Cloud Computing. His latest RFC 6208 is on cloud storage & CDMI. He been developing systems for the last 30+ years – from C/CPM to Cobol to Ada to Java to … His interests include big data stacks – from infrastructure to visualization, highly scalable cloud architectures & intelligent inferences. He is pursuing the Mining Massive Data Sets Graduate Certificate at Stanford. He also writes books – including “Cisco Wireless LAN Security” and “Enterprise Web 2.0”. His other passion is Lego Robotics and is contributing as Technical Judge in local & Lego world competitions.

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Comments

Picture of Krishna Sankar
07/15/2012 1:32pm PDT

Final slides slideshare Programs github

See you all tomorrow. Cheers
Picture of Krishna Sankar
07/12/2012 10:49pm PDT

To do the exercises during the tutorial, the requests python library is needed.

07/12/2012 12:47am PDT

Any pre-requisites (python libraries) we need to install prior to the tutorial?

Picture of Krishna Sankar
07/08/2012 12:06am PDT

Preliminary Slides goo.gl/54K4Z Would appreciate feedback as I finalize the tutorial

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