Difference between revisions of "Social Network Analysis (SNA)"
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* [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] | * [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] | ||
| + | * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]] | ||
* [[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 | ||
Latest revision as of 07:46, 7 January 2026
YouTube search... ...Google search
- Math for Intelligence ... Finding Paul Revere ... Social Network Analysis (SNA) ... Dot Product ... Kernel Trick
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- 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.
- Network Analysis | Leonid Zhukov
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.
