Social Network Analysis (SNA)

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• Math for Intelligence
• Finding Paul Revere
• NetworkX for creation, manipulation, and study of the structure, dynamics, and functions of complex networks
• Matplotlib for generating plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc
• Knowledge Graphs are very useful ways of presenting information about social networks.

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.

• Project Information | P. Mathur, Prerna, and S. Vallakatla - GitHub

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.