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:
컴퓨테이셔널 사회과학 특화 과정캘리포니아 대학교 데이비스 캠퍼스이 강좌에 대하여
배울 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.
제공자:
캘리포니아 대학교 데이비스 캠퍼스
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
강의 계획표 - 이 강좌에서 배울 내용
Getting Started and Formalizing Networks
In this module, you will be introduced to the concept of networks. You will be able to define networks and identify how data is transformed and analyzed in a network. You will able be able to discuss how to formalize networks.
Social Network Analysis
In this module, you will be able to discuss the structure of networks and be able to explain how a person can be the center of one. You will be able to discover the different types of language that networks use and be able to identify the three types of network measurements.
Analyzing a Network with Software
In this module, you will begin with a social network analysis lab activity. You will be able to do data wrangling of databases and visualize a network. You will be able to analyze a social network and also be able to examine other social network analysis through case studies.
Network Evolution
In this module, you will be able to identify the different types of social networks. You will be able to discuss what mechanisms generates these different types of networks and you will be able to explain how networks move from being static to dynamic.
검토
- 5 stars79.89%
- 4 stars13.75%
- 3 stars2.64%
- 2 stars1.58%
- 1 star2.11%
소셜 네트워크 분석의 최상위 리뷰
Excellent course. Learning a lot about social network analysis. Hope to see some advance courses on this domain.
inspiartional, educational and entertaining .... simply excellant
I enjoyed this course. I began this courses wanting to gain a better understanding of social networks. I leave the course with a better understanding of effective decision making. Thank you.
The course was good, but how to collect data for computation to study social networks (other than digital platforms should have been included.
컴퓨테이셔널 사회과학 특화 과정 정보
For more information please view the Computational Social Science Trailer
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Since this Specialization is a collective effort from all UC campuses, who teaches it?
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