Social network analysis using R
Social network analysis using R, available at $34.99, has an average rating of 3.35, with 21 lectures, based on 38 reviews, and has 153 subscribers.
You will learn about Explore the concept of social network analysis Learn how social network analysis can used at practical setting Creating network graphs Learn how social network graphs can be prepared in R Visualising a network This course is ideal for individuals who are Data analysts or Business analysts or R enthusiasts It is particularly useful for Data analysts or Business analysts or R enthusiasts.
Enroll now: Social network analysis using R
Summary
Title: Social network analysis using R
Price: $34.99
Average Rating: 3.35
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Explore the concept of social network analysis
- Learn how social network analysis can used at practical setting
- Creating network graphs
- Learn how social network graphs can be prepared in R
- Visualising a network
Who Should Attend
- Data analysts
- Business analysts
- R enthusiasts
Target Audiences
- Data analysts
- Business analysts
- R enthusiasts
When it comes to data-oriented programming language, R is considered one of the top 3 in the list. Through R we can perform a staggering number of statistical data modelling functions. In this exciting course we will learn how R can be used to perform social network analysis which is one of the widely used data analysis methods these days to measure connectedness among individuals, groups and organisations. Social network analysis is used to establish and measure connectivity within transport, advertising, national security, medicine, geography, politics, social psychology, and many other fields. If you’re involved in analytics in any capacity, this course will be a huge help, teaching you how R can be used to format data for analysis, create graphs, analyse network graphs, and visualise networks. Although the course is designed in an extremely simple but informative manner, but it is still expected that you should be some basic experience of R environment to do this course. The course also comes with some sample data-sets, coding lists and R files with codes which will help you to become an expert of social network analysis. So, let’s learn how to examine the relationships and trends among networks in new and exciting ways, and discover information about how individuals in an organization interact.
Course Curriculum
Chapter 1: What is social network analysis?
Lecture 1: Introduction from the instructor
Lecture 2: Welcome message
Lecture 3: Introduction
Lecture 4: Basic concepts of social network analysis
Chapter 2: Basic introduction to R
Lecture 1: Why use R
Lecture 2: Installing packages in R
Chapter 3: Entering data into R
Lecture 1: Format data for social network analysis
Lecture 2: Customising the graph
Chapter 4: Creating basic graphs
Lecture 1: Creating basic graphs using igraph
Lecture 2: Creating different types of Social Network graphs in R
Lecture 3: Entering data from csv file
Chapter 5: Analysing network graphs
Lecture 1: Calculate network density
Lecture 2: Measure betweenness
Lecture 3: Measure edge density
Lecture 4: Analyse graphs through cliques
Lecture 5: Taking random walks in graph
Chapter 6: NetworkD3 package
Lecture 1: Introduction to NetworkD3
Lecture 2: Simple network diagram
Lecture 3: Hierarchical clustering – dendogram
Lecture 4: Sankey Network
Lecture 5: Force Network
Instructors
-
Dr. Sayem Hossain
Data, Research, Strategy and Evaluation Expert -
HotCubator Academy
A think tank in Data, Research and Entrepreneurial thinking
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 7 votes
- 3 stars: 6 votes
- 4 stars: 10 votes
- 5 stars: 14 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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