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Вернуться к Социальные и экономические системы: модели и анализ

Отзывы учащихся о курсе Социальные и экономические системы: модели и анализ от партнера Стэнфордский университет

Оценки: 680

О курсе

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: You can find a short introductory videao here:

Лучшие рецензии


2 июля 2021 г.

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.


21 апр. 2021 г.

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!!!

Фильтр по:

76–100 из 151 отзывов о курсе Социальные и экономические системы: модели и анализ

автор: Mikhail K

26 нояб. 2017 г.

Extremely interesting and very well presented course. Many thanks to Matthew!!!

автор: Cailean O

30 янв. 2018 г.

Professor Jackson explains the concepts very clearly; great course. Thank you!

автор: Sandeep R

19 мая 2017 г.

Amazing Course. A must of all research scholars interested in Social Networks

автор: Lorenzo M L

14 июня 2020 г.

This course opened my eyes to an entire discipline. Very interesting! Thanks

автор: Maik S

9 окт. 2019 г.

I like that this course is build upon a textbook. Makes it easy to follow.

автор: Benjamin P

6 янв. 2020 г.

Excellent course and lecturer. I am forever grateful for this experience.

автор: Abel V

23 янв. 2018 г.

Excelente curso, con un muy buen balance entre la teoría y la aplicación.

автор: Chow K M

24 мая 2022 г.

E​xcellent introductions to modern network analysis at post-grad levels.

автор: Gubanov A

3 июля 2019 г.

The course is very useful. The teacher is great also, thank's a lot.

автор: Adarsh M

5 февр. 2018 г.

Wish we had projects to work on. Excellent theory material though.

автор: Junchao M

8 нояб. 2017 г.


автор: Mikael S

25 янв. 2021 г.

Very nice course! I learned a lot and really recommend it.

автор: ANIBAL H B

26 апр. 2017 г.

excelente curso!! muy practico y sumamente útil. gracias!

автор: Damian C

21 нояб. 2016 г.

Very interesting and comprehensive coverage of networks.

автор: Wuqiong F

7 нояб. 2016 г.

Excellent. Completely changed how I perceive the world.

автор: Bahar R

28 мая 2020 г.

great course for grad students and young scholars

автор: Herbaut J P M

16 июля 2019 г.

Excellent expérience ! Thanks You.

Herbaut Julien

автор: Mansimran S A 1

1 окт. 2018 г.

a very good excellent on social network analysis

автор: Листопад П М

23 окт. 2016 г.

Отличный курс, дает полное представление о теме.

автор: TAMARA D P

23 авг. 2021 г.

No era lo que imagine, pero es muy interesante

автор: Yadnesh S

4 нояб. 2018 г.

Provides an in depth knowlledge about topics.

автор: Venkatraman R

9 авг. 2017 г.

Exceptional Course and very good teaching !!!

автор: Maurice V

11 июля 2017 г.

Challenging, thrilling and extremely helpful!

автор: jaderne H

9 июля 2018 г.

Very interesting and well presented course .

автор: Ignacio O

4 окт. 2018 г.

Awesome course with lots of applications!