Chevron Left
Network Dynamics of Social Behavior(으)로 돌아가기

펜실베이니아 대학교의 Network Dynamics of Social Behavior 학습자 리뷰 및 피드백

4.6
별점
344개의 평가

강좌 소개

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...

최상위 리뷰

PG

2019년 7월 28일

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

2018년 1월 20일

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.

필터링 기준:

Network Dynamics of Social Behavior의 89개 리뷰 중 76~89

교육 기관: YAO E M K

2018년 11월 23일

교육 기관: Teemu P

2020년 7월 16일

교육 기관: Rine l C

2020년 12월 28일

교육 기관: Rhythm G

2020년 8월 29일

교육 기관: Ken

2022년 2월 19일

교육 기관: Andrew Z

2018년 1월 27일

교육 기관: KARINE L

2019년 5월 17일

교육 기관: Mylene v d K

2020년 1월 6일

교육 기관: Jo-Ann J

2021년 11월 25일

교육 기관: Rafael R S

2020년 3월 18일

교육 기관: Roy L

2019년 7월 8일

교육 기관: Apoorva P B

2018년 1월 24일

교육 기관: Awani B

2020년 10월 5일

교육 기관: Cansel K

2021년 7월 30일