PyData
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2 selected videos
Rob Chew, Peter Baumgartner | Connected: A Social Network Analysis Tutorial with NetworkX
PyData Carolinas 2016
Social Network Analysis (SNA), the study of the relational structure between actors, is used throughout the social and natural sciences to discover insight from connected entities. In this tutorial, you will learn how to use the NetworkX library to analyze network data in Python, emphasizing intuition over theory.
Methods will be illustrated using a dataset of the romantic relationships between characters on "Grey's Anatomy", an American medical drama on the ABC...
Related topics : social network analysis tutorial / analysis social network
Josh Levy-Kramer: A practical guide to conquering social network data
A Python stack for social network analytics. The pipeline connects data acquisition through API calls to community detection and labelling. Several major Python libraries are discussed. There are 4 sections: data acquisition with Twisted, data formatting and network construction with Pandas, Data compression with Numpy and Cython and Data Enrichment with Scikit-learn.
Full details here: http://london.pydata.org/schedule/presentation/41/
Related topics : social network data
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