课程信息
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第 3 门课程(共 5 门)

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初级

完成时间大约为21 小时

建议:5 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Define networks and discover the languages networks use.

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

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    Discuss what mechanisms generate networks.

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    Examine social networks analysis using case studies.

100% 在线

立即开始,按照自己的计划学习。

第 3 门课程(共 5 门)

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为21 小时

建议:5 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Getting Started and Formalizing Networks

7 个视频 (总计 48 分钟), 1 个阅读材料, 1 个测验
7 个视频
Social Equals Network4分钟
Nodes11分钟
Links8分钟
Nodes and/or Links6分钟
Strength of Ties7分钟
Formalizing Networks4分钟
1 个阅读材料
A Note From UC Davis10分钟
1 个练习
Module 1 Quiz30分钟
2
完成时间为 2 小时

Social Network Analysis

12 个视频 (总计 74 分钟), 1 个阅读材料, 1 个测验
12 个视频
Network Jargon8分钟
Degrees4分钟
Roaming the Network11分钟
Communities5分钟
Triangles4分钟
Network Centrality (Part 1)10分钟
Network Centrality (Part 2)8分钟
Community Detection5分钟
Eigenvector Centrality6分钟
Three Kinds of Measures2分钟
Network Analysis Software5分钟
1 个阅读材料
Optional/Complementary10分钟
1 个练习
Module 2 Quiz30分钟
3
完成时间为 4 小时

Analyzing a Network with Software

9 个视频 (总计 77 分钟), 4 个阅读材料, 2 个测验
9 个视频
Data Wrangling11分钟
Network Measures (Part 1)15分钟
Network Measures (Part 2)13分钟
Influentials5分钟
Who's Influential?8分钟
Twitter Cascades8分钟
Base Rate4分钟
Modeling Influentials7分钟
4 个阅读材料
Social Network Analysis - Getting Started10分钟
Social Network Analysis Lab Tutorial10分钟
Welcome to Peer Review Assignments!10分钟
Optional/Complementary10分钟
1 个练习
Module 3 Quiz20分钟
4
完成时间为 1 小时

Network Evolution

8 个视频 (总计 57 分钟), 1 个测验
8 个视频
Network Dynamics6分钟
Network Hypotheses5分钟
Random Graphs7分钟
Tipping Points8分钟
Scale-Free Networks12分钟
Hybrid Models5分钟
Small World Networks10分钟
1 个练习
Module 4 Quiz30分钟

讲师

Image of instructor, Martin Hilbert

Martin Hilbert

Professor
Communication, Graduate Group Computer Science Chair Emphasis Computational Social Science

关于 加州大学戴维斯分校

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

关于 Computational Social Science 专项课程

Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics. An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world. This specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses....
Computational Social Science

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