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返回到 社会和经济网络:模型和分析

學生對 斯坦福大学 提供的 社会和经济网络:模型和分析 的評價和反饋

4.8
653 個評分
149 條評論

課程概述

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions. The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks. Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. We will then discuss a series of models of how networks impact behavior, including contagion, diffusion, learning, and peer influences. You can find a more detailed syllabus here: http://web.stanford.edu/~jacksonm/Networks-Online-Syllabus.pdf You can find a short introductory videao here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4...

熱門審閱

LN
2021年7月2日

I was new to network theory but the concepts were very well articulated. A whole new way of looking at what makes social relationships, favor exchange(s) and social networks work. Well worth the time.

AB
2021年4月21日

Very well done and explained, full of insight in the social network analysis!!! Lots of ideas about using it in company and team behaviours! Economical analysis of financial contagion is insightful!!!

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101 - 社会和经济网络:模型和分析 的 125 個評論(共 145 個)

創建者 ANTONINO A

2017年1月22日

Fantastic and interesting course.

創建者 Ayushi R

2020年5月30日

Great Course. I learned a lot.

創建者 pranav n

2018年9月5日

needs more practical exercises

創建者 Sebastián F

2018年12月22日

Very nice and useful course.

創建者 CHARLOTTE P

2020年7月1日

I am enjoying the course

創建者 Sourav M

2020年5月24日

Great course..!!

創建者 John B

2017年9月10日

Wonderful course

創建者 Phan T B T

2021年5月31日

Great course!!1

創建者 Rijul K

2018年12月3日

greaaaat course

創建者 Богдан

2016年11月25日

Very intresting

創建者 Anand A R

2020年4月27日

Great Course!

創建者 Mojtaba A

2017年10月27日

Great teacher

創建者 Antonio C

2020年10月14日

big course

創建者 Christiano F d C

2020年10月4日

Very good!

創建者 Mohammad N C

2021年3月17日

Excellent

創建者 Pablo E

2018年2月12日

Excellent

創建者 Zaruhi H

2017年10月20日

Thanks!

創建者 swapnil s

2016年10月12日

Great!!

創建者 Andy P

2016年10月18日

great!

創建者 anuj

2017年5月30日

best

創建者 Stylianos T

2017年2月24日

A very good introduction in social and economic networks.

I recommend this course to everyone that wants to learn how networks are formed, understand the basic concepts and get an intuition on the possible networks that he/she could form.

The professor is talking clearly so you won't have a problem in understanding him.

One thing that was missing for me was in Week 2 when he was talking about "eigenvector centrality", for me the most objective measure, the explanation was really poor and you could never understand the concept based on what the lesson offered.

創建者 KM

2018年8月21日

The chemistry disciplinary knowledge cautions the utilization of the idea of diffusion because diffusion in chemistry is more of systematic random process then the idea of diffusion in this lecture. If you could enhance and clarify the Week 4 lecture of the Praeto Efficiency, Utility, and Pairwise in additional examples the brevity of the lecture could build the idea into a few slides to sharpen the idea earlier. Think about adding more examples of the Centrality examples, I thought the Centrality was interesting.

創建者 Carlson O

2017年4月22日

Very comprehensive as an introductory course. The content is very actual and the lectures' flow is objective. Also, I liked the quiz inside the lectures as they helped in retain the subject. I have some hard difficulties with the mathematics as I'm very rusty with the mathematics (more than 30 years of rust). I'm from the compute science area so I would like to see more practice in algorithms. However, I would like to congratulate the Stanford University and Cousera teams for the course. Great job.

創建者 Fernando I P M

2020年8月3日

Buen curso en general. Sin embargo, podría estar más actualizado en términos de aplicaciones para el año 2020. Especialmente en trabajo con datos. Además, algunas evaluaciones adolecen de elementos que no están contenidos en el material, y si bien uno puede intuir a aplicar la teoría bajo otros contextos, muchas veces los resultados no son tan intuitivos, quedando algunas dudas respecto a esos contenidos más que clarificar dicho tópico.

創建者 Alejandro A R

2018年7月15日

Greatly insightful and resourceful content for future research. As a recent university graduate interested in graduate school I found the course challenging meaning determination and consistency contributed to the successful completion of the course. Rewatching lectures and seeking external support helped me comprehend concepts through application.