Network Visualization and Intervention

Network Visualization and Intervention

This course is part of Social Media Analytics Specialization

Instructor: Ian McCulloh

What you'll learn

Master relational algebra operations to effectively query and manipulate complex datasets for insightful analysis.
Develop impactful network visualizations using design principles that enhance clarity and understanding of complex data.
Learn strategies for network interventions to influence behaviors and ideas, leveraging network dynamics effectively.

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Assessments

9 assignments

Taught in English

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This course is part of the Social Media Analytics Specialization

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There are 4 modules in this course

In the "Network Interventions" course, learners will explore the foundational principles of data manipulation, visualization, and the dynamics of networks. This course stands out by seamlessly integrating theoretical knowledge with practical applications. You'll gain expertise in Relational Algebra, empowering you to construct and interpret operations that effectively manage complex datasets. The course also emphasizes the art of Network Visualization, where you will learn to create impactful visual representations of data, making complex information accessible and understandable.

Additionally, the course delves into Network Interventions, teaching you how to influence behaviors and ideas within social networks. You will master strategies to identify opinion leaders and implement effective segmentation techniques, essential skills for driving change in various contexts. By the end of the course, you will be equipped not only with analytical and visualization skills but also with the ability to influence social dynamics, preparing you for impactful roles in data-driven environments. This unique combination of skills makes the Network Intervention course an invaluable asset for those looking to thrive in the evolving landscape of data science and social network analysis.

This course will equip you with essential skills to define and apply relational algebra, extract networks, and understand the fundamentals of effective visualization. You will learn to communicate data effectively through color and grasp the nuances of human visual perception. Additionally, you will explore how network structures influence the adoption of innovations and examine various intervention strategies.

What's included

1 reading1 plugin

In this module, you will delve into Relational Algebra, the cornerstone of database query languages, emphasizing its principles and operations. You will learn to construct relational algebra operations and interpret their significance in manipulating data. Additionally, you will acquire skills in extracting networks and relational structures from data using relational algebra, enabling you to effectively query and analyze complex datasets.

What's included

2 videos5 readings3 assignments1 ungraded lab

2 videosTotal 55 minutes

Linear Algebra Primer (Optional)23 minutesPreview module
Relational Algebra - Part 131 minutes

5 readingsTotal 100 minutes

Reading References10 minutes
A Matrix Algebra Primer20 minutes
A Linear Algebra Practice20 minutes
Some R Commands for Linear Algebra10 minutes
Self-Reflective Reading: Relational Algebra Problem40 minutes

3 assignmentsTotal 90 minutes

Fundamentals of Relational Algebra18 minutes
Constructing and Extracting Networks with Relational Algebra12 minutes
Relational Algebra60 minutes

1 ungraded labTotal 60 minutes

Practice Lab: Social Network Analysis Using Meta-Networks60 minutes

In this module, you will explore Network Visualization, focusing on fundamental principles and techniques in information visualization. You will learn to construct and communicate networks using graphical elements and effective color usage. You will be able to understand human visual perception and its implications for visualization design. Additionally, you will develop skills in reducing visual complexity and creating impactful multivariate visualizations, essential for conveying insights from complex network data.

What's included

5 videos1 reading3 assignments

5 videosTotal 74 minutes

Early Visualization – A Historic Overview of the Science of Visualization14 minutesPreview module
Network Visualization 15 minutes
Graphic Elements of Data16 minutes
Color11 minutes
Visual Complexity18 minutes

1 readingTotal 40 minutes

Self-Reflective Reading: Spotting the Worst- Analyzing Poor Network Visualizations40 minutes

3 assignmentsTotal 90 minutes

Fundamentals of Network Visualization12 minutes
Techniques for Effective Network Communication18 minutes
Network Visualization 60 minutes

In this module, you will explore Network diffusion and Interventions, focusing on how network structures influence the adoption of innovations and behaviors. You will learn about network interventions, including identifying opinion leaders, segmentation strategies, and intervention techniques like induction and alteration. Additionally, you will develop insights into leveraging network dynamics to effectively intervene and influence behaviors and ideas within complex social networks.