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.
Этот курс входит в специализацию ''Специализация Вычислительные социальные науки'
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Специализация Вычислительные социальные наукиКалифорнийский университет в ДевисеОб этом курсе
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Define networks and discover the languages networks use.
Analyze a social network through data wrangling and visualizing a network.
Discuss what mechanisms generate networks.
Examine social networks analysis using case studies.
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Программа курса: что вы изучите
Getting Started and Formalizing Networks
Social Network Analysis
Analyzing a Network with Software
Network Evolution
Рецензии
- 5 stars79,79 %
- 4 stars14,14 %
- 3 stars2,52 %
- 2 stars1,51 %
- 1 star2,02 %
Лучшие отзывы о курсе АНАЛИЗ СОЦИАЛЬНЫХ СЕТЕЙ
Very Usefull. Thank to Mr. Hillbert.
But it can be more technical with more exerciceses.
The course was good, but how to collect data for computation to study social networks (other than digital platforms should have been included.
Excellent course. Learning a lot about social network analysis. Hope to see some advance courses on this domain.
(1) Interesting, but somewhat eccentric ... I now see why we have taxes ... to subsidize costs of government hubs on networks. (2) See Another use of web-scraping data.
Специализация Вычислительные социальные науки: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
What do students say after completion?
Since this Specialization is a collective effort from all UC campuses, who teaches it?
Остались вопросы? Посетите Центр поддержки учащихся.
