Chevron Left
ソーシャルネットワーク分析 に戻る

カリフォルニア大学デービス校(University of California, Davis) による ソーシャルネットワーク分析 の受講者のレビューおよびフィードバック



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....




This course bringg us with many patience many perspectives and concepts in order to understan social networks. I think it was incredible for my own self-learning, and for my future researches.



This is a great intro to SNA course. In just only 5 weeks, this course will walk you through key concepts, brief logic of SNA, as well as examples from the real world. Highly recommended!


ソーシャルネットワーク分析: 51 - 52 / 52 レビュー

by Solee S


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.

by Romilly C


I found the presenter's style irritating and his strong accent hard to follow. There were lots of transcription errors, and many students will have had great difficulty in understanding what was said.

The recommended software is not easy to install, and the scraping software not easy to use. His suggestion (use Google as your IT department) shows an attitude that I find unprofessional. I shall not complete this or other courses in this specialisation.