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Il y a 4 modules dans ce cours
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.
Inclus
1 lecture1 plugin
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1 lecture•Total 10 minutes
Course Overview•10 minutes
1 plugin•Total 4 minutes
Instructor Biography - Dr. Ian McCulloh•4 minutes
Relational Algebra
Module 2•5 heures à terminer
Détails du module
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.
Inclus
2 vidéos5 lectures3 devoirs1 laboratoire non noté
Afficher les informations sur le contenu du module
Constructing and Extracting Networks with Relational Algebra•12 minutes
Relational Algebra•60 minutes
1 laboratoire non noté•Total 60 minutes
Practice Lab: Social Network Analysis Using Meta-Networks•60 minutes
Network Visualization
Module 3•3 heures à terminer
Détails du module
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.
Inclus
5 vidéos1 lecture3 devoirs
Afficher les informations sur le contenu du module
5 vidéos•Total 75 minutes
Early Visualization – A Historic Overview of the Science of Visualization•14 minutes
Network Visualization •15 minutes
Graphic Elements of Data•16 minutes
Color•11 minutes
Visual Complexity•18 minutes
1 lecture•Total 40 minutes
Self-Reflective Reading: Spotting the Worst- Analyzing Poor Network Visualizations•40 minutes
3 devoirs•Total 90 minutes
Fundamentals of Network Visualization•12 minutes
Techniques for Effective Network Communication•18 minutes
Network Visualization •60 minutes
Network Interventions
Module 4•3 heures à terminer
Détails du module
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.
Inclus
3 vidéos2 lectures3 devoirs
Afficher les informations sur le contenu du module
3 vidéos•Total 37 minutes
Network Diffusion & Interventions•18 minutes
Opinion Leadership•12 minutes
Subgroups•7 minutes
2 lectures•Total 70 minutes
Reading References•10 minutes
Self-Reflective Reading: Political Election vs. Tobacco Prevention•60 minutes
3 devoirs•Total 90 minutes
Network Structure and Adoption Dynamics•15 minutes
Strategies for Network Interventions•15 minutes
Network Interventions•60 minutes
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