學生對 宾夕法尼亚大学 提供的 Network Dynamics of Social Behavior 的評價和反饋

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.

Both Professors easily give an overview of Network Dynamics

The course was truly fascinating .. providing insights into processes of information transmission and disease diffusion, how people adopt social conventions, and the best social organization of research and design activities, all though the lens of social network structure. The courses uses simple computational models (no programming required). I learned a great deal and really want to explore this approach further.

Very interesting course. Occasionally test questions are too vague.

Great introduction to the subject of complex social systems. Sparked a lot of thinking on social networks, spreading of information and the dynamics of social change. looking forward to a follow-on course on the subject.

A great entry level course for network dynamics.

Although the model has some flaws which I'm considering about, it's a good course for introducing how to use a computational model to model the phenomenon in social networks and predict collective behavior. I have read some books about the complex systems and I'm also majoring in computer science, I do believe the research on collective behavior is a key point on understanding the world and I'm fascinated by it. Thanks for the tool this course introduced to me and for the content it shows! Thanks for the good lectures the professor gave me!

It was a very good class and I learned a lot. Thanks for sharing and continue the good job.

Great course, through this course i learned a few things on how people interact. Ideas in this course are not only applicable to people, but also diseases, problem solving and many more. I highly recommend to all managers and others interested in policy or human behavior in general

This is a really good course for beginners, and it gets across some great and important ideas very intuitively (even without getting into very rigorous analysis, it does a great job). It would really help if some more material on using NetLogo could be provided, but overall this is a great course.

The course discussed some absolutely fascinating material - I really enjoyed learning about Schelling Segregation Model (collective dynamics are not obvious from individual preferences), how dense local connections are necessary for spreading behaviours that require social reinforcement (which initially seemed counterintuitive), and the section on problem solving in networks.However, I felt that the material was quite superficial in its treatment - the quizzes were very straightforward and didn't require a really deep understanding of the material (in my opinion), nor was there much attention paid to the maths underlying these phenomena. While I understand that this may not have been the aim of the course (since equations tend to put of people less comfortable or uninterested in mathematical detail), it would have been nice if the Resources contained links to further reading for those interested.Alternatively, it would have been really wonderful if Josh or Damon (both of whom explained the material really well), had added optional videos going into the material - this is how Andrew Ng does it in his Deep Learning course, and I found that extremely helpful.Overall, I would definitely recommend this course to everyone interested in a radically different approach to understanding human behaviour!

Very good topic and teachers' expertize. It is a pity that the "rules" used in teh simulations are not made explicit, leading to some doubts. Also, could go a bit deeper in the influence of key network parameters.

The course gives a very good overview of the main insights and is enjoyable at the same time. Great course that would deserve a five-star rating if it would not be for the many typos, incomplete sentences in the tests, and errors in the videos.

I whould like to have more of the models practicing.

Content is neatly laid out, not mathematically rigorous as I believe course is targeting a wider set of audience. Week 2 material can be improved with regard to clarity about the different types of networks.

An good course that will provide gist of Agent Based Modeling with out dragging it too long. Introduces an Agent Based Modeling software NetLogo with examples and codes.

I found this a very good introduction to network dynamics. The problems addressed are very interesting, and explanations are very clear. One drawback is that it is not very technical, but in the allotted amount of time it would not be possible to cover so much ground otherwise.

very good overview. i'm missing the maths behind the theory which will enable me to apply the knowledge to own problems

Very good introduction to the topic

Awesome material and lessons. Only could not have five stars because could not download Netlogo models

The course is great! It will be greater if there is more detail information about the coding of NetLogo.

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

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

Really interesting course. Would be interested in a more complete one with the mathmatical modeling. One thing bothered me. They don't use the concept of complexity as the more recent literature uses (see

Emilian Kavalski work). A rocket is a extremely complicated thing but it is not complex, because you can study the parts and undertand the hole. Tou can't do that with a complex system, like global economy or global govermnance