University of California, Davis

Social Network Analysis

This course is part of Computational Social Science Specialization

Taught in English

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Martin Hilbert

Instructor: Martin Hilbert

15,028 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(223 reviews)

Beginner level
No prior experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Define networks and discover the languages networks use.

  • Analyze a social network through data wrangling and visualizing a network.

  • Discuss what mechanisms generate networks.

  • Examine social networks analysis using case studies.

Details to know

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(223 reviews)

Beginner level
No prior experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Computational Social Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

In this module, you will be introduced to the concept of networks. You will be able to define networks and identify how data is transformed and analyzed in a network. You will able be able to discuss how to formalize networks.

What's included

8 videos2 readings1 quiz1 discussion prompt

In this module, you will be able to discuss the structure of networks and be able to explain how a person can be the center of one. You will be able to discover the different types of language that networks use and be able to identify the three types of network measurements.

What's included

12 videos1 reading1 quiz

In this module, you will begin with a social network analysis lab activity. You will be able to do data wrangling of databases and visualize a network. You will be able to analyze a social network and also be able to examine other social network analysis through case studies.

What's included

9 videos4 readings1 quiz1 peer review

In this module, you will be able to identify the different types of social networks. You will be able to discuss what mechanisms generates these different types of networks and you will be able to explain how networks move from being static to dynamic.

What's included

8 videos1 quiz

In this module, you will be able to examine theoretical predictions of networks. You will be able to calculate basic math problems and be able to discuss how to make networks more efficient and stable.

What's included

9 videos1 quiz1 discussion prompt

Instructor

Instructor ratings
4.8 (60 ratings)
Martin Hilbert
University of California, Davis
5 Courses52,891 learners

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Recommended if you're interested in Data Analysis

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4.7

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