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

4.7
stars
222 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 7, 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 29, 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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26 - 50 of 62 Reviews for Social Network Analysis

By Mahalakshmi D

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Aug 22, 2020

Very useful and wonderful course to enhance my knowledge. Looking forward more to learn. Thank you.

By Venkat b

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Jul 24, 2023

Excellent course. Gives a birds eye view of SNA with right amount of lab, assignment and theory.

By Логацька С

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Apr 10, 2022

Great course! Professors were fun to watch and they are great at explaining hard things easily.

By mohammad

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Nov 2, 2020

Very Usefull. Thank to Mr. Hillbert.

But it can be more technical with more exerciceses.

By Lai W W

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Apr 7, 2021

Excellent course packed with any yet essential concepts for social network analysis.

By Patricio V

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May 7, 2021

This course is one of the hardest from the program, is intense but rewarding

By Daren H

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May 14, 2022

inspiartional, educational and entertaining .... simply excellant

By Domieck

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Mar 28, 2020

Learned a lot more than expected and Hilbert is a great professor

By Diego A P P

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Aug 6, 2020

Excellent course. Explain very complex concepts in a simple way.

By safia s

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Apr 26, 2020

It is very good course, The instructors are really very good

By PETER H

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Aug 7, 2022

Great course, although quite tough for a 71 year-old mind!

By ds225229109 M D S

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Sep 10, 2023

it was good expriance looking forward to learn more

By Anura J

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Oct 15, 2022

Well structured course with some hands on analysis

By Sepehr M

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Apr 18, 2020

Very good. Martin Hilbert is a very good teacher.

By Samuel D Z L

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Jun 7, 2020

Genial introducción al tema de redes

By Anthropolo S

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Aug 10, 2023

Great balance of depth and breadth.

By Priya Sharma

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Jun 6, 2020

Great Insights. Much Valuable

By Siraj M

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Jul 9, 2020

A super cool course for SNA.

By GUILLERMO F R R

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Sep 25, 2020

excellent, very interesting

By Artem M

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Jun 18, 2022

Professor is great!

By Adella S

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Jan 9, 2023

very comprehensive!

By Deleted A

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Jun 28, 2020

The Best Cours!

By CARLOS L R O

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Dec 13, 2023

excelente

By TIRIRA S R M

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May 30, 2022

Excelente

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.