课程信息

6,526 次近期查看

How do revolutions emerge without anyone expecting them?  How did social norms about same sex marriage change more rapidly than anyone anticipated?  Why do some social innovations take off with relative ease, while others struggle for years without spreading?  More generally, what are the forces that control the process of social evolution –from the fashions that we wear, to our beliefs about religious tolerance, to our ideas about the process of scientific discovery and the best ways to manage complex research organizations? 
The social world is complex and full of surprises. Our experiences and intuitions about the social world as individuals are often quite different from the behaviors that we observe emerging in large societies. Even minor changes to the structure of a social network - changes that are unobservable to individuals within those networks - can lead to radical shifts in the spread of new ideas and behaviors through a population. These “invisible” mathematical properties of social networks have powerful implications for the ways that teams solve problems, the social norms that are likely to emerge, and even the very future of our society.  

This course condenses the last decade of cutting-edge research on these topics into six modules.  Each module provides an in-depth look at a particular research puzzle -with a focus on agent-based models and network theories of social change -and provides an interactive computational model for you try out and to use for making your own explorations!  


Learning objectives - after this course, students will be able to...
- explain how computer models are used to study challenging social problems 
- describe how networks are used to represent the structure of social relationships 
- show how individual actions can lead to unintended collective behaviors
- provide concrete examples of how social networks can influence social change 
- discuss how diffusion processes can explain the growth social movements, changes in cultural norms, and the success of team problem solving

学生职业成果

20%

完成这些课程后已开始新的职业生涯

10%

通过此课程获得实实在在的工作福利

14%

加薪或升职

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

初级

完成时间大约为5 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

讲师

授课教师评分

4.66/5 （53 个评分）

Damon Centola

Professor of Communication, Sociology and Communication

9,414 个学生

1 门课程

学生职业成果

20%

完成这些课程后已开始新的职业生涯

10%

通过此课程获得实实在在的工作福利

14%

加薪或升职

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

初级

完成时间大约为5 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

教学大纲 - 您将从这门课程中学到什么

周

1

周 1

完成时间为 1 小时

Course Introduction and Schelling's Segregation Model

This week will introduce students to agent-based modeling and social network theory. We will present one of the earliest and most famous agent-based models, Thomas Schelling’s model of segregation, which shows how segregation can emerge in a population even when people individually prefer diversity. This week will demonstrate this model both conceptually and with NetLogo, and illustrate how agent-based models can be used to demonstrate sufficient conditions for the emergence of social phenomena.

完成时间为 1 小时

7 个视频（总计 20 分钟）

周

2

周 2

完成时间为 1 小时

Diffusion in Small Worlds

This week will introduce students to social network theory and the “small worlds” paradox. We will introduce contagion models of diffusion, and discuss how network structure can impact the speed with which information spreads through a population. This week includes both high level conceptual overviews of social network theory, explaining how networks are used to represent complex social relationships, as well as technical descriptions of two basic types of networks.

完成时间为 1 小时

7 个视频（总计 25 分钟）

周

3

周 3

完成时间为 1 小时

Complex Contagions and the Weakness of Long Ties

This week will begin by discussing the limitations of simple disease-like models of social contagion, introducing the idea of “complex contagions” to model people’s frequent need for social reinforcement before spreading a piece of information or behavior. While simple contagions always spread faster as networks get smaller, this week will demonstrate the paradoxical nature of complex contagions, which can spread slower (or not at all!) in the smallest networks.

完成时间为 1 小时

6 个视频（总计 26 分钟）

周

4

周 4

完成时间为 1 小时

Emperor's Dilemma and the Spread of Unpopular Norms

How can behaviors become popular even when most people dislike them? This week will introduce a model based on the classic allegory by Hans Christian Anderson, “The Emperor’s New Clothes.” We will first provide a conceptual overview of the model, discussing the role of private versus public beliefs and the enforcement of social norms. We will then present this model in NetLogo, showing which conditions favor the spread of unpopular behaviors.

完成时间为 1 小时

6 个视频（总计 17 分钟）

周

5

周 5

完成时间为 1 小时

The Spontaneous Emergence of Conventions

This week will tackle another puzzle in social conventions: how can populations reach widely shared social conventions in the absence of any central organizing mechanism? We will begin by discussing classic explanations for the emergence of conventions, and why these explanations are insufficient to explain our social world. We will then discuss an agent-based model of conventions that builds on a model of local peer-to-peer coordination, and use NetLogo to show how local interactions can generate global convergence.

完成时间为 1 小时

5 个视频（总计 16 分钟）, 1 个阅读材料, 1 个测验

周

6

周 6

完成时间为 1 小时

Problem Solving in Networks

How can you best organize a team to produce innovative solutions to complex problems? If people on the team can’t communicate, then they can’t share strategies, and won’t learn from each other’s success. But if they communicate too much, they’ll cluster around just a few ideas, and won’t explore the entire problem space. This week introduces an agent-based model of problem solving and shows how network structure can be used to navigate this classic exploration/exploitation trade-off.

完成时间为 1 小时

7 个视频（总计 31 分钟）

7 个视频

6.1 Exploration and Exploitation: Networks of Innovation2分钟

6.2 Modeling Complex Problems7分钟

6.3 Modeling Problem-Solving in Teams2分钟

6.4 Thinking about Models: Problem-Solving in the Real World1分钟

6.5 Using NetLogo: Complex Problem Solving in Networks9分钟

6.6 Conclusions: The Two Pizza Rule1分钟

6.7 Course Conclusions: The Network Dynamics of Social Behavior4分钟

1 个练习

Week 630分钟

审阅

4.6

83 条评论

5 stars
71.71%
4 stars
21.71%
3 stars
4.27%
2 stars
0.98%
1 star
1.31%

来自NETWORK DYNAMICS OF SOCIAL BEHAVIOR的热门评论

由 SC 提供Jan 20, 2018

A Crisp yet effective overview of some of the most critical works in the field of Networking. Anyone from the fields of Management, Sociology, Anthropology et al should try the MOOC.

由 PG 提供Jul 28, 2019

This course really enhanced my understanding of collective intelligence, however, it would be great if instructors provide lecture slides also to revise the course whenever required.

由 MY 提供Apr 6, 2020

For me, from a non-mathematical background, it was an excellent introductory course. I wish it can paw the way for more in-depth exploration around the issue and advance steps.

由 AL 提供Mar 20, 2020

I have never learned agent model in social network courses in graduate school. This course brings me up to date about the aggregate effects of unintended individual behaviors

查看所有评论

常见问题

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我购买证书后会得到什么？
您购买证书后，将有权访问所有课程材料，包括评分作业。完成课程后，您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以向无法承担学费的学生提供助学金。点击左侧‘注册’按钮下的‘助学金’链接即可申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。了解详情。
完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。

还有其他问题吗？请访问学生帮助中心。

Network Dynamics of Social Behavior