課程信息

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第 3 門課程(共 5 門)

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初級

完成時間大約為21 小時

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

英語(English)

字幕:英語(English)

您將學到的內容有

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    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% 在線

立即開始,按照自己的計劃學習。

第 3 門課程(共 5 門)

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為21 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 2 小時

Getting Started and Formalizing Networks

完成時間為 2 小時
7 個視頻 (總計 48 分鐘), 1 個閱讀材料, 1 個測驗
7 個視頻
Social Equals Network4分鐘
Nodes11分鐘
Links8分鐘
Nodes and/or Links6分鐘
Strength of Ties7分鐘
Formalizing Networks4分鐘
1 個閱讀材料
A Note From UC Davis10分鐘
1 個練習
Module 1 Quiz30分鐘
2

2

完成時間為 2 小時

Social Network Analysis

完成時間為 2 小時
12 個視頻 (總計 74 分鐘), 1 個閱讀材料, 1 個測驗
12 個視頻
Network Jargon8分鐘
Degrees4分鐘
Roaming the Network11分鐘
Communities5分鐘
Triangles4分鐘
Network Centrality (Part 1)10分鐘
Network Centrality (Part 2)8分鐘
Community Detection5分鐘
Eigenvector Centrality6分鐘
Three Kinds of Measures2分鐘
Network Analysis Software5分鐘
1 個閱讀材料
Optional/Complementary10分鐘
1 個練習
Module 2 Quiz30分鐘
3

3

完成時間為 3 小時

Analyzing a Network with Software

完成時間為 3 小時
9 個視頻 (總計 77 分鐘), 4 個閱讀材料, 2 個測驗
9 個視頻
Data Wrangling11分鐘
Network Measures (Part 1)15分鐘
Network Measures (Part 2)13分鐘
Influentials5分鐘
Who's Influential?8分鐘
Twitter Cascades8分鐘
Base Rate4分鐘
Modeling Influentials7分鐘
4 個閱讀材料
Social Network Analysis - Getting Started10分鐘
Social Network Analysis Lab Tutorial10分鐘
Welcome to Peer Review Assignments!10分鐘
Optional/Complementary10分鐘
1 個練習
Module 3 Quiz20分鐘
4

4

完成時間為 1 小時

Network Evolution

完成時間為 1 小時
8 個視頻 (總計 57 分鐘), 1 個測驗
8 個視頻
Network Dynamics6分鐘
Network Hypotheses5分鐘
Random Graphs7分鐘
Tipping Points8分鐘
Scale-Free Networks12分鐘
Hybrid Models5分鐘
Small World Networks10分鐘
1 個練習
Module 4 Quiz30分鐘

講師

授課教師 Martin Hilbert 的圖片

Martin Hilbert

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

關於 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....

關於 Computational Social Science 專項課程

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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