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Learner Reviews & Feedback for Social Network Analysis by University of California, Davis

4.7
stars
234 ratings

About the Course

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....

Top reviews

VM

Sep 8, 2020

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.

RT

Mar 30, 2021

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!

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51 - 67 of 67 Reviews for Social Network Analysis

By TIRIRA S R M

•

May 30, 2022

Excelente

By Chanh N N

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Jan 2, 2025

Thank

By Ben B

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Nov 10, 2020

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.

By John C

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Jan 12, 2022

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.

By pat2b

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Feb 12, 2022

(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.

By Sangeeta S

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Jul 7, 2020

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

By Marcus V C A

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May 17, 2024

Very nice course. But I think there could be more exercises and laboratories, to consolidate the content, which is very interesting.

By Andry A

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May 25, 2020

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

By Vani K - P

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Aug 1, 2020

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

By Pritam R

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May 26, 2020

Feel good to learn something new.

By nordaliela m r

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Jun 23, 2021

One of the best crash course~

By Rohit G

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Jun 11, 2023

good

By Simeon S

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Apr 8, 2020

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

By Solee S

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Sep 21, 2020

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 Disztl D

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Jun 15, 2023

Somewhat useful course, but it has a lot of problems. Web scraper doesn't work anymore as shown in the videos and the teacher's style is very annoying.