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Volver a Social and Economic Networks: Models and Analysis

Opiniones y comentarios de aprendices correspondientes a Social and Economic Networks: Models and Analysis por parte de Universidad de Stanford

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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...

Principales reseñas

LN

2 de jul. de 2021

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

21 de abr. de 2021

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 - 125 de 150 revisiones para Social and Economic Networks: Models and Analysis

por Carlos J D

16 de ago. de 2016

Nice course, well paced, great teacher!

por WICHAYA P

27 de may. de 2021

This course is very great and useful.

por Moreno M

29 de dic. de 2019

Great Professor, enlightening course!

por Andre S

16 de feb. de 2021

Excellent course! Very didactic!!!!

por ANTONINO A

22 de ene. de 2017

Fantastic and interesting course.

por Ayushi R

30 de may. de 2020

Great Course. I learned a lot.

por pranav n

5 de sep. de 2018

needs more practical exercises

por Sebastián F

22 de dic. de 2018

Very nice and useful course.

por CHARLOTTE P

1 de jul. de 2020

I am enjoying the course

por Sourav M

24 de may. de 2020

Great course..!!

por John B

10 de sep. de 2017

Wonderful course

por Phan T B T

31 de may. de 2021

Great course!!1

por Rijul K

3 de dic. de 2018

greaaaat course

por Богдан

25 de nov. de 2016

Very intresting

por Anand A R

27 de abr. de 2020

Great Course!

por Mojtaba A

27 de oct. de 2017

Great teacher

por Antonio C

14 de oct. de 2020

big course

por Christiano F d C

4 de oct. de 2020

Very good!

por Mohammad N C

17 de mar. de 2021

Excellent

por Pablo E

12 de feb. de 2018

Excellent

por Zaruhi H

20 de oct. de 2017

Thanks!

por swapnil s

12 de oct. de 2016

Great!!

por Andy P

18 de oct. de 2016

great!

por anuj

30 de may. de 2017

best

por David S

4 de ago. de 2022

This is a fascinating and stimulating course in which I learned enough to make my brain overheat at the end of every session. It's heavy for the non-mathmetician, but you just have to struggle to keep up when the going gets numerically tough. My one gripe is that it leans too far towards formulas, and not enough to real-world examples and application. For example, in Week 6 admist the equations, there was suddenly a look at how it applies to drop-out rates in the labour market. That was all too brief, and more of this would really lift the course. Jackson really knows his onions however and is an interesting and sympathetic tutor.