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Ahmad Varasteh
By the end of this project, you will learn how to Analyze a real network graph using python. you will learn how to use Networkx module to Visualize a graph and to calculate some important measures which can describe characteristics of our graph. you will also learn About Centrality measures to find Important nodes in a graph. In the final task of the project we are going talk about Scale-free networks and we are going to prove that Facebook Network graph has familiarities with Scale-free networks.
Register for this course and see more details by visiting:
OpenCourser.com/course/uv0tar/facebook
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What's inside
Syllabus
Facebook Network Analysis using Python and Networkx
By the end of this project, you will learn how to Analyze a real network graph using python. you will learn how to use Networkx module to Visualize a graph and to calculate some important measures which can describe characteristics of our graph. you will also learn About Centrality measures to find Important nodes in a graph. In the final task of the project we are going talk about Scale-free networks and we are going to prove that Facebook Network graph has familiarities with Scale-free networks.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Ahmad Varasteh who is an expert in Network Analysis
Develops and illustrates how to calculate centrality measures, an ability valuable for Data Scientists
Provides a practical method for analyzing real-world networks, a useful skill in many industries
Leverages the popular NetworkX module, which is commonly used in the industry for network analysis
Prerequisites: Basic Python knowledge and high school-level math. May require additional background knowledge
Save this course
Save Facebook Network Analysis using Python and Networkx to your list so you can find it easily later:
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Reviews summary
Average network analysis course
Learners say that Network Analysis is average with fair explanations of Network Analysis but good practice for using the Networkx library. However, the course can be slow and basic. If you are already familiar with Network Analysis and want to learn how to use Networkx, this course could be for you. But if you are looking for a deep dive into Network Analysis theory, this course may not meet your needs.
Good for practicing the Networkx library.
"The course content is ok in terms of practicing the library."
"If you are already familiar with Network Analysis and want to learn how to use Networkx, this course could be for you."
Platform can be slow to load.
"Moreover, the platform for guided projects takes a lot of time to load which makes the learning experience really bad."
Lacking depth in theory.
"but too basic in terms of explaining what is Network analysis."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Facebook Network Analysis using Python and Networkx with these
activities:
Organize course materials
Show steps
Organizing course materials will help provide a better experience for students by making materials easy to access and locate.
Show steps
-
Gather all of the course materials.
-
Create a system for organizing the materials.
-
Store the materials in an accessible location.
Review Python programming
Show steps
Reviewing Python programming will help ensure that students have a strong foundation in a key skill required for this course.
Browse courses on
Python
Show steps
-
Review the basics of Python programming.
-
Complete some practice exercises.
-
Build a small Python project.
Review Network Graph Theory Concepts
Show steps
Review the basics of network graph theory to strengthen your understanding of the concepts covered in the course.
Browse courses on
Network Analysis
Show steps
-
Read introductory materials on network graph theory
-
Complete practice problems or exercises on network graph theory
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice identifying nodes and edges
Show steps
Practice identifying nodes and edges will provide essential preparation that will help with future work in this course.
Browse courses on
Nodes
Show steps
-
Download the network data for the Facebook network.
-
Load the data into NetworkX.
-
Use NetworkX to visualize the graph.
Understand centrality measures
Show steps
This tutorial will help solidify the student's understanding of network analysis and centrality measures, a key topic in this course.
Browse courses on
Centrality Measures
Show steps
-
Read the tutorial on centrality measures.
-
Watch the video tutorial on centrality measures.
-
Complete the practice exercises on centrality measures.
Develop a data visualization for a network graph
Show steps
Creating a data visualization for a network graph will provide a practical application of a skill learned in this course.
Browse courses on
Network Analysis
Show steps
-
Choose the network graph that you want to visualize.
-
Select the data that you want to include in the visualization.
-
Choose a data visualization tool.
-
Create the visualization.
-
Write a report on your findings.
Create a presentation on scale-free networks
Show steps
Creating a presentation on scale-free networks will strengthen the student's understanding of this concept and consolidate their knowledge of network analysis.
Show steps
-
Research scale-free networks.
-
Gather data on Facebook Network graph.
-
Analyze the data.
-
Create a presentation on your findings.
Build a network analysis project
Show steps
Completing a network analysis project will apply directly to the subject matter of the course and will provide the learner with hands-on experience using the skills learned in the course.
Browse courses on
Network Analysis
Show steps
-
Choose a topic for your project.
-
Gather data for your project.
-
Analyze the data.
-
Write a report on your findings.
Organize course materials
Show steps
Organizing course materials will help provide a better experience for students by making materials easy to access and locate.
Show steps
Show steps
Show steps
- Gather all of the course materials.
- Create a system for organizing the materials.
- Store the materials in an accessible location.
Review Python programming
Show steps
Reviewing Python programming will help ensure that students have a strong foundation in a key skill required for this course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the basics of Python programming.
- Complete some practice exercises.
- Build a small Python project.
Review Network Graph Theory Concepts
Show steps
Review the basics of network graph theory to strengthen your understanding of the concepts covered in the course.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Read introductory materials on network graph theory
- Complete practice problems or exercises on network graph theory
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice identifying nodes and edges
Show steps
Practice identifying nodes and edges will provide essential preparation that will help with future work in this course.
Browse courses on
Nodes
Show steps
Show steps
Show steps
- Download the network data for the Facebook network.
- Load the data into NetworkX.
- Use NetworkX to visualize the graph.
Understand centrality measures
Show steps
This tutorial will help solidify the student's understanding of network analysis and centrality measures, a key topic in this course.
Browse courses on
Centrality Measures
Show steps
Show steps
Show steps
- Read the tutorial on centrality measures.
- Watch the video tutorial on centrality measures.
- Complete the practice exercises on centrality measures.
Develop a data visualization for a network graph
Show steps
Creating a data visualization for a network graph will provide a practical application of a skill learned in this course.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Choose the network graph that you want to visualize.
- Select the data that you want to include in the visualization.
- Choose a data visualization tool.
- Create the visualization.
- Write a report on your findings.
Create a presentation on scale-free networks
Show steps
Creating a presentation on scale-free networks will strengthen the student's understanding of this concept and consolidate their knowledge of network analysis.
Show steps
Show steps
Show steps
- Research scale-free networks.
- Gather data on Facebook Network graph.
- Analyze the data.
- Create a presentation on your findings.
Build a network analysis project
Show steps
Completing a network analysis project will apply directly to the subject matter of the course and will provide the learner with hands-on experience using the skills learned in the course.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Choose a topic for your project.
- Gather data for your project.
- Analyze the data.
- Write a report on your findings.
Career center
Learners who complete Facebook Network Analysis using Python and Networkx will develop knowledge and skills
that may be useful to these careers:
Computer Network Architect
Computer Network Architect
A Computer Network Architect designs, implements, and maintains computer networks. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design, implement, and maintain computer networks.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to analyze and interpret data.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and develop machine learning models.
Data Architect
Data Architect
A Data Architect designs and builds data architectures. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and build data architectures.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to manage and maintain databases.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to protect computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction.
Network Engineer
Network Engineer
A Network Engineer designs, implements, and maintains computer networks. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and maintain computer networks.
Network Security Engineer
Network Security Engineer
A Network Security Engineer protects computer networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to protect computer networks from unauthorized access, use, disclosure, disruption, modification, or destruction.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs, develops, and maintains artificial intelligence systems. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and develop artificial intelligence systems.
Business Analyst
Business Analyst
A Business Analyst helps businesses improve their performance by analyzing their business processes and recommending changes. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to analyze business processes.
Computer Scientist
Computer Scientist
A Computer Scientist researches and develops new computer technologies. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to research and develop new computer technologies.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and develop software applications.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to analyze and interpret data.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to plan and execute projects.
Systems Analyst
Systems Analyst
A Systems Analyst designs, implements, and maintains computer systems. This course may be useful for this career because it teaches how to analyze and visualize networks, which is a skill that can be used to design and maintain computer systems.
For more career information including salaries, visit:
OpenCourser.com/course/uv0tar/facebook
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Facebook Network Analysis using Python and Networkx.
Focuses on the mathematical and statistical analysis of complex networks. It is more advanced than the previous book, but it provides a deeper understanding of the theoretical foundations of network science.
Provides a comprehensive overview of social network analysis methods and applications. It valuable reference for anyone interested in using network analysis to study social phenomena.
Provides a practical guide to using network analysis in applied social research. It valuable resource for researchers who want to use network analysis to understand and solve real-world problems.
Provides a global perspective on the network society. It valuable resource for anyone who wants to understand the impact of globalization on social networks.
Save
This classic book introduces the concept of weak ties. It valuable resource for anyone who wants to understand the role of weak ties in social networks.
This classic book discusses the challenges that large companies face when they try to innovate. It valuable resource for anyone who wants to understand the process of innovation.
Provides a practical guide to the lean startup methodology. It valuable resource for anyone who wants to start a successful business.
Save
Provides a unique perspective on how to build a successful startup. It valuable resource for anyone who wants to understand the mindset of successful entrepreneurs.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uv0tar/facebook
Share
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Taught by Ahmad Varasteh who is an expert in Network Analysis
Develops and illustrates how to calculate centrality measures, an ability valuable for Data Scientists
Provides a practical method for analyzing real-world networks, a useful skill in many industries
Leverages the popular NetworkX module, which is commonly used in the industry for network analysis
Prerequisites: Basic Python knowledge and high school-level math. May require additional background knowledge
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