Difference between revisions of "Social Network Analysis (SNA)"

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[http://www.google.com/search?q=Social+Network+Analysis+SNA ...Google search]
 
[http://www.google.com/search?q=Social+Network+Analysis+SNA ...Google search]
  
* [[Math for Intelligence]] ... [[Finding Paul Revere]]  ... [[[Social Network Analysis (SNA)]]
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* [[Math for Intelligence]] ... [[Finding Paul Revere]]  ... [[Social Network Analysis (SNA)]]
 
* [[Python#NetworkX |NetworkX]] for creation, manipulation, and study of the structure, dynamics, and functions of complex networks
 
* [[Python#NetworkX |NetworkX]] for creation, manipulation, and study of the structure, dynamics, and functions of complex networks
 
* [[Python#Matplotlib |Matplotlib]] for generating plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc
 
* [[Python#Matplotlib |Matplotlib]] for generating plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc

Revision as of 13:17, 30 June 2023

YouTube search... ...Google search

Capstone Project: Data and Knowledge Engineering

Problem Statement: Given an instance of set of nodes (users) in a social network graph, the aim is to find the influencing (important) users and to predict the likelihood of a future association (edge) between two nodes, knowing that there is no association between the nodes in the current state of the graph.

Python Libraries:

  • Plotly graphing library for making interactive, publication-quality graphs online.
  • IGraph a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. igraph is open source and free.
  • NumPy adds support for large, multi-dimensional arrays and matrices along with a large collection of high level mathematical functions to operate on these arrays. (dependency- Scikit)
  • SciPy an open source Python library used for scientific computing and technical computing.(dependency- Scikit)
  • scikit-learn simple and efficient tool for data mining and data analysis. Used for dimensionality reduction and implementing machine learning algorithms.