We may earn an affiliate commission when you visit our partners.
You (Lilian) Cheng
In daily life, our connections with family and friends form our social networks. Across the country, roads between different places form transportation networks. In research areas, collaborations among different researchers form research collaboration networks. Visible or invisible, networks exist in many aspects of our life. Being able to visualize networks will help us understand relationships embedded in complicated network information.
Read more
In daily life, our connections with family and friends form our social networks. Across the country, roads between different places form transportation networks. In research areas, collaborations among different researchers form research collaboration networks. Visible or invisible, networks exist in many aspects of our life. Being able to visualize networks will help us understand relationships embedded in complicated network information.
Read more
In daily life, our connections with family and friends form our social networks. Across the country, roads between different places form transportation networks. In research areas, collaborations among different researchers form research collaboration networks. Visible or invisible, networks exist in many aspects of our life. Being able to visualize networks will help us understand relationships embedded in complicated network information.
In this project, learners will visualize various types of static networks of marvel heroes using the igraph package and base R plot functions. We can easily use static networks in reports and presentations. A good handle of this method will help learners, from both academia and industry, quickly express informative relationships and connections among different variables.
Register for this course and see more details by visiting:
OpenCourser.com/course/0mrn42/visualizing
Three deals to help you save
We found three deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 12
Annual Subscription Savings
Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.
Only $239!
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Syllabus
Project Overview
In daily life, our connections with family and friends form our social networks. Across the country, roads between different places form transportation networks. In research areas, collaborations among different researchers form research collaboration networks. Visible or invisible, networks exist in many aspects of our life. Being able to visualize networks will help us understand relationships embedded in complicated network information.
Static networks can be easily used in reports and presentations. In this project, learners will plot various types of static networks of marvel heroes using R programming. A good handle of this method will help learners quickly express informative relationships and connections among different variables.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Lilian Cheng, who specializes in networks and complex systems
Involves using the igraph package and base R plot functions, which are industry-standard tools for network visualization
Provides practical skills in visualizing networks, which are useful for both academic research and industry applications
Course scope is limited to static networks, excluding other types of networks (e.g., dynamic, temporal)
May require additional knowledge in R programming beyond what is covered in the course
Save this course
Save Visualizing static networks with R to your list so you can find it easily later:
Save
Save
Reviews summary
Highly commended course
According to students, this course is highly recommended. One student praised the instructor as fantastic, even going so far as to say they are one of a kind. Overall, reviews are positive
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 Visualizing static networks with R with these
activities:
Explore Rstudio
Show steps
The ability to visualize networks requires using RStudio effectively. Spend some time getting to know the interface and going through some basic tutorials.
Show steps
-
Go to the RStudio website and watch the beginner tutorial.
-
Download and install RStudio.
-
Open a new project and explore the interface.
Marvel Cinematic Universe Overview
Show steps
Review basic concepts and characters of the Marvel Cinematic Universe to build a solid foundation for understanding the course materials.
Show steps
-
Watch key Marvel movies in chronological order.
-
Read synopses or watch recaps of the movies you missed.
-
Research and familiarize yourself with the main characters and their relationships.
Review Marvel Comics
Show steps
This course relies heavily on an understanding of the characters, teams, and storylines of Marvel Comics. Reviewing a couple of the comics will help you succeed in this course.
Show steps
-
Read at least two issues from different Marvel comic book series.
-
Summarize the stories in the comics you read.
-
Identify the main characters and their relationships with each other.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Plotting Static Networks with igraph
Show steps
Enhance your understanding of how to use igraph for visualizing static networks, which is a fundamental skill for this course.
Show steps
-
Follow online tutorials on igraph package in R.
-
Practice creating and plotting different types of networks.
-
Experiment with different visualization options to optimize readability.
Coding Drills in R
Show steps
You'll get hands-on experience with coding static networks in R through these drills. This will reinforce your understanding of the concepts taught in the course.
Browse courses on
R
Show steps
-
Go to the course website and access the R coding drills.
-
Solve at least 10 coding drills.
-
Check your solutions against the provided answer key.
Network Analysis Exercises
Show steps
Solidify your understanding of network analysis concepts and metrics by solving practice exercises.
Browse courses on
Network Analysis
Show steps
-
Attempt practice problems involving network metrics such as degree, centrality, and clustering coefficient.
-
Interpret the results of your analysis to draw meaningful conclusions.
-
Participate in online forums or discussion groups to share your solutions and learn from others.
Visualize a Real-World Network
Show steps
To test your skills at visualizing networks, try creating a network diagram based on a real-world dataset. This will help you further generalize the concept of network visualization.
Browse courses on
Network Visualization
Show steps
-
Identify a real-world dataset that can be represented as a network.
-
Clean and prepare the data in R.
-
Create a network diagram using the igraph package in R.
-
Interpret and analyze the network diagram.
Marvel Network Visualization
Show steps
Demonstrate your proficiency in network visualization by creating a visual representation of the relationships between Marvel heroes.
Browse courses on
Network Visualization
Show steps
-
Gather data on the relationships between Marvel heroes from various sources.
-
Choose an appropriate network visualization tool.
-
Design and create a visually appealing and informative network visualization.
Create a Network Visualization Report
Show steps
This project will showcase your skills in network visualization. You'll create a report that includes multiple network diagrams and in-depth analysis of the network data.
Browse courses on
Network Visualization
Show steps
-
Select a real-world dataset that can be represented as a network.
-
Clean and prepare the data in R.
-
Create multiple network diagrams using the igraph package in R.
-
Write a report that interprets and analyzes the network diagrams.
Start a Network Analysis Project
Show steps
This is an independent project that will allow you to explore a topic of your choice related to network analysis. It will give you the opportunity to apply the concepts and techniques learned in this course.
Browse courses on
Network Analysis
Show steps
-
Define the scope of your project and identify a specific research question.
-
Collect and prepare the data for your analysis.
-
Apply network analysis techniques to your data.
-
Write a report that presents your findings and conclusions.
Explore Rstudio
Show steps
The ability to visualize networks requires using RStudio effectively. Spend some time getting to know the interface and going through some basic tutorials.
Show steps
Show steps
Show steps
- Go to the RStudio website and watch the beginner tutorial.
- Download and install RStudio.
- Open a new project and explore the interface.
Marvel Cinematic Universe Overview
Show steps
Review basic concepts and characters of the Marvel Cinematic Universe to build a solid foundation for understanding the course materials.
Show steps
Show steps
Show steps
- Watch key Marvel movies in chronological order.
- Read synopses or watch recaps of the movies you missed.
- Research and familiarize yourself with the main characters and their relationships.
Review Marvel Comics
Show steps
This course relies heavily on an understanding of the characters, teams, and storylines of Marvel Comics. Reviewing a couple of the comics will help you succeed in this course.
Show steps
Show steps
Show steps
- Read at least two issues from different Marvel comic book series.
- Summarize the stories in the comics you read.
- Identify the main characters and their relationships with each other.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Plotting Static Networks with igraph
Show steps
Enhance your understanding of how to use igraph for visualizing static networks, which is a fundamental skill for this course.
Show steps
Show steps
Show steps
- Follow online tutorials on igraph package in R.
- Practice creating and plotting different types of networks.
- Experiment with different visualization options to optimize readability.
Coding Drills in R
Show steps
You'll get hands-on experience with coding static networks in R through these drills. This will reinforce your understanding of the concepts taught in the course.
Browse courses on
R
Show steps
Show steps
Show steps
- Go to the course website and access the R coding drills.
- Solve at least 10 coding drills.
- Check your solutions against the provided answer key.
Network Analysis Exercises
Show steps
Solidify your understanding of network analysis concepts and metrics by solving practice exercises.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Attempt practice problems involving network metrics such as degree, centrality, and clustering coefficient.
- Interpret the results of your analysis to draw meaningful conclusions.
- Participate in online forums or discussion groups to share your solutions and learn from others.
Visualize a Real-World Network
Show steps
To test your skills at visualizing networks, try creating a network diagram based on a real-world dataset. This will help you further generalize the concept of network visualization.
Browse courses on
Network Visualization
Show steps
Show steps
Show steps
- Identify a real-world dataset that can be represented as a network.
- Clean and prepare the data in R.
- Create a network diagram using the igraph package in R.
- Interpret and analyze the network diagram.
Marvel Network Visualization
Show steps
Demonstrate your proficiency in network visualization by creating a visual representation of the relationships between Marvel heroes.
Browse courses on
Network Visualization
Show steps
Show steps
Show steps
- Gather data on the relationships between Marvel heroes from various sources.
- Choose an appropriate network visualization tool.
- Design and create a visually appealing and informative network visualization.
Create a Network Visualization Report
Show steps
This project will showcase your skills in network visualization. You'll create a report that includes multiple network diagrams and in-depth analysis of the network data.
Browse courses on
Network Visualization
Show steps
Show steps
Show steps
- Select a real-world dataset that can be represented as a network.
- Clean and prepare the data in R.
- Create multiple network diagrams using the igraph package in R.
- Write a report that interprets and analyzes the network diagrams.
Start a Network Analysis Project
Show steps
This is an independent project that will allow you to explore a topic of your choice related to network analysis. It will give you the opportunity to apply the concepts and techniques learned in this course.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Define the scope of your project and identify a specific research question.
- Collect and prepare the data for your analysis.
- Apply network analysis techniques to your data.
- Write a report that presents your findings and conclusions.
Career center
Learners who complete Visualizing static networks with R will develop knowledge and skills
that may be useful to these careers:
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze data and make predictions. This course may be useful for Quantitative Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Data Analyst
Data Analyst
A Data Analyst examines large amounts of data, identifies patterns and trends, and provides recommendations to help organizations make better decisions. This course may help individuals in this role by providing them with the skills to visualize and interpret network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course may be useful for Statisticians by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Research Analyst
Research Analyst
A Research Analyst conducts research to provide insights and recommendations to businesses and organizations. This course may be useful for Research Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Product Manager
Product Manager
A Product Manager is responsible for the development and management of a product or service. This course may be useful for Product Managers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Market Researcher
Market Researcher
A Market Researcher conducts research on target markets to help businesses understand their customers' needs and preferences. This course may be useful for Market Researchers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Systems Analyst
Systems Analyst
A Systems Analyst designs, develops, and maintains computer systems. This course may be useful for Systems Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Social Media Manager
Social Media Manager
A Social Media Manager plans, executes, and analyzes social media campaigns. This course may be useful for Social Media Managers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Web Analyst
Web Analyst
A Web Analyst analyzes website traffic and data to improve website performance. This course may be useful for Web Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex problems in business and industry. This course may be useful for Operations Research Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Risk Analyst
Risk Analyst
A Risk Analyst identifies, assesses, and manages risks to an organization. This course may be useful for Risk Analysts by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing out projects. This course may be useful for Project Managers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
User Experience Researcher
User Experience Researcher
A User Experience Researcher conducts research to understand how users interact with products and services. This course may be useful for User Experience Researchers by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for Data Scientists by providing them with the skills to visualize and analyze network data, which can be valuable in understanding the relationships between different variables and making data-driven decisions.
For more career information including salaries, visit:
OpenCourser.com/course/0mrn42/visualizing
Reading list
We've selected nine 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
Visualizing static networks with R.
A comprehensive textbook on network theory, covering fundamental concepts, models, and applications. Provides a solid foundation for understanding the structural and dynamical properties of networks.
An accessible introduction to complex networks, focusing on their topological and dynamical properties. Offers a practical approach with numerous examples and exercises.
Save
A comprehensive guide to social network analysis, covering methods, applications, and software. Provides a practical understanding of network structures and dynamics.
A concise and accessible introduction to network science, covering key concepts and applications. Offers a broad overview of the field for beginners.
A specialized book on the statistical mechanics of complex networks, covering advanced models and techniques. Provides in-depth knowledge for researchers working in network science.
A comprehensive textbook covering the fundamentals of network science and its applications in various disciplines. Provides a solid theoretical foundation for understanding complex networks.
Save
A practical guide to using social media data for social good. Covers network analysis techniques and applications in areas such as public health, education, and disaster response.
A textbook on graph theory, providing a mathematical foundation for understanding networks. Covers topics such as graph connectivity, coloring, and optimization.
Save
An interdisciplinary book that explores the role of networks in shaping social and economic phenomena. Provides a broad understanding of network dynamics and their implications for society.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0mrn42/visualizing
Share
Similar courses
Here are nine courses similar to
Visualizing static networks with R.
Social Network Analysis
OpenCourser.com/course/4k8wo4/social
Social Network Analysis
Network Analysis
OpenCourser.com/course/ga861k/network
Network Analysis
Visualizing Filters of a CNN using TensorFlow
OpenCourser.com/course/l0jdth/visualizing
Visualizing Filters of a CNN using TensorFlow
Leveraging Network Interconnection Options on the GCP
OpenCourser.com/course/n2j5n0/leveraging
Leveraging Network Interconnection Options on the GCP
Empathy and Emotional Intelligence at Work
OpenCourser.com/course/5vf88c/empathy
Empathy and Emotional Intelligence at Work
Working with Datasets
OpenCourser.com/course/eouz1h/working
Working with Datasets
Race and Cultural Diversity in American Life and History
OpenCourser.com/course/1kbtt2/race
Race and Cultural Diversity in American Life and History
Positive Psychology
OpenCourser.com/course/aoxbrv/positive
Positive Psychology
Network Dynamics of Social Behavior
OpenCourser.com/course/w3i56y/network
Network Dynamics of Social Behavior
Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
You (Lilian) Cheng
Language
English
Good to know
Taught by Lilian Cheng, who specializes in networks and complex systems
Involves using the igraph package and base R plot functions, which are industry-standard tools for network visualization
Provides practical skills in visualizing networks, which are useful for both academic research and industry applications
Course scope is limited to static networks, excluding other types of networks (e.g., dynamic, temporal)
May require additional knowledge in R programming beyond what is covered in the course
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser