Learn how to analyze a social network.
- [Instructor] It's time to look at some important…metrics that network analysis experts use…to make quick sense of who's who…in a social media network.…Let's start first with the essential vocabulary,…and then I'll show you how to analyze…a simulated social network that we've created…in the previous demo.…You want to keep these terms in mind:…degree, successors, and neighbors.…Like we said before, a degree…describes a node's connectedness.…Successors is a little more complicated though.…A successor node is a node that could serve…as a backup and potentially a replacement…for an influential node in a network.…
The function of a successor node…is to preserve the flow of influence…throughout a network,…in the case where an important node is removed.…The last term, neighbors,…refers to adjacent nodes in a network.…The term in-degree refers to a theory…that if a person or profile has a lot…of inbound connections, then they're…considered prestigious because many different people…and profiles want to connect with them.…
AuthorLillian Pierson, P.E.
- Getting started with Jupyter Notebooks
- Visualizing data: basic charts, time series, and statistical plots
- Preparing for analysis: treating missing values and data transformation
- Data analysis basics: arithmetic, summary statistics, and correlation analysis
- Outlier analysis: univariate, multivariate, and linear projection methods
- Introduction to machine learning
- Basic machine learning methods: linear and logistic regression, Naïve Bayes
- Reducing dataset dimensionality with PCA
- Clustering and classification: k-means, hierarchical, and k-NN
- Simulating a social network with NetworkX
- Creating Plot.ly charts
- Scraping the web with Beautiful Soup
Skill Level Beginner
1. Data Munging Basics
2. Data Visualization Basics
3. Basic Math and Statistics
4. Dimensionality Reduction
Explanatory factor analysis6m 39s
5. Outlier Analysis
6. Cluster Analysis
7. Network Analysis with NetworkX
8. Basic Algorithmic Learning
9. Web-based Data Visualizations with Plotly
10. Web Scraping with Beautiful Soup
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.