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Вернуться к Анализ социальных сетей

Отзывы учащихся о курсе Анализ социальных сетей от партнера Калифорнийский университет в Девисе

Оценки: 121
Рецензии: 32

О курсе

This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics....

Лучшие рецензии

15 апр. 2020 г.

Excellent course. Learning a lot about social network analysis. Hope to see some advance courses on this domain.

5 июля 2020 г.

Loved learning the basics and getting hands on using the tools needed to analyze Social Networks. Great Course.

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26–32 из 32 отзывов о курсе Анализ социальных сетей

автор: Ben B

10 нояб. 2020 г.

Maybe the strongest course in the specialization. You will work with gephi - a good tool for quick network analysis (I still prefer to do it using R or Python, but gephi is easy to use and offers a lot of possibilities and a nice user interface.

Be prepared that your peer-review will take a couple of days.

автор: Sangeeta S

7 июля 2020 г.

The course was good, but how to collect data for computation to study social networks (other than digital platforms should have been included.

автор: Andry A

25 мая 2020 г.

nice course, but I think some of the material could be improved in delivering

автор: Vani K - P

1 авг. 2020 г.

Its a basic course which covers the breadth of SNA in a superficial manner.

автор: Pritam R

26 мая 2020 г.

Feel good to learn something new.

автор: Simeon S

8 апр. 2020 г.

Fine overview, but they treat you like a small child. Also many annoying questions throughout the videos that do not support learning.

автор: Solee S

21 сент. 2020 г.

OK for an intro class but a bit too basic and too little lab work. Would be nicer if there was a bit more in-depth exercises.