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?
提供：
Network Dynamics of Social Behavior
ペンシルベニア大学（University of Pennsylvania）このコースについて
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英語
字幕：フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, ロシア語, 英語, スペイン語
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
初級レベル
約5時間で修了
英語
字幕：フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, ロシア語, 英語, スペイン語
提供：
ペンシルベニア大学（University of Pennsylvania）
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
シラバス - 本コースの学習内容
1時間で修了
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.
1時間で修了
7件のビデオ （合計20分）
1時間で修了
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.
1時間で修了
7件のビデオ （合計25分）
1時間で修了
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.
1時間で修了
6件のビデオ （合計26分）
1時間で修了
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.
1時間で修了
6件のビデオ （合計17分）
レビュー
NETWORK DYNAMICS OF SOCIAL BEHAVIOR からの人気レビュー
PGにより2019年7月28日
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.
SCにより2018年1月20日
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.
MYにより2020年4月6日
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.
ALにより2020年3月20日
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
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