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.
제공자:
이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
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.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기강의 계획표 - 이 강좌에서 배울 내용
Getting Started and Formalizing Networks
Social Network Analysis
Analyzing a Network with Software
Network Evolution
검토
- 5 stars79.79%
- 4 stars14.14%
- 3 stars2.52%
- 2 stars1.51%
- 1 star2.02%
소셜 네트워크 분석의 최상위 리뷰
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.
inspiartional, educational and entertaining .... simply excellant
Excellent course packed with any yet essential concepts for social network analysis.
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Since this Specialization is a collective effort from all UC campuses, who teaches it?
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