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Avis et commentaires pour d'étudiants pour Network Dynamics of Social Behavior par Université de Pennsylvanie

4.6
étoiles
297 évaluations
80 avis

À propos du cours

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...

Meilleurs avis

PG
28 juil. 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.

SC
20 janv. 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.

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76 - 79 sur 79 Avis pour Network Dynamics of Social Behavior

par Rafael R S

18 mars 2020

Too much theory, it needs to be a more practical application approach. Give challenges and real exercises to students, real problems to be tested. Give more details about the software used in the course and its features, etc.

par Roy L

8 juil. 2019

interesting description of application of network analysis to social dynamics. However it could be improved a bit to discuss the models more in-depth

par Apoorva P B

24 janv. 2018

It's too bare-bones and not very challenging, but talks about very interesting concepts

par Awani B

5 oct. 2020

I felt that the course could be better in terms of the tests/assignments which could have some basic problems to model. It would definitely help to better understand how netlogo works and the thinking process behind modelling social phenomena. I also suggest that more reading materials be given as it helps to connect with the research aspect better.