Social Network Analysis

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7/10 stars
based on  13 reviews
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Course Details

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FREE

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  • On demand

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4724 reviews

Course Description

This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.
Reviews 7/10 stars
13 Reviews for Social Network Analysis

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Mike Hernandez profile image
Mike Hernandez profile image
8/10 starsCompleted
  • 2 reviews
  • 2 completed
6 years, 11 months ago
Overall: Considering this is the first iteration of the course being taught online through Coursera, I found this class worthwhile. Putting logistical hiccups aside, the material is fairly applicable to real world situations. It will not teach you how to scrape, mine and transform network data. However, it will equip you with the academic nomenclature and enough theory so that you can develop the right intuition to analyze social networks. One neat thing about this class is that you really aren't confined to understanding just social networks. The professor grazes on a little bit of game theory, sociology, and even public policy. Feedback: One piece of feedback I left in my Coursera review for the class was that it would be nice to have some sort of lab, or reference supplement to teach you how to pull your own data (other than FB's). I also appreciated the emphasis on visual analysis since this is an introductory/general course. If ... Overall: Considering this is the first iteration of the course being taught online through Coursera, I found this class worthwhile. Putting logistical hiccups aside, the material is fairly applicable to real world situations. It will not teach you how to scrape, mine and transform network data. However, it will equip you with the academic nomenclature and enough theory so that you can develop the right intuition to analyze social networks. One neat thing about this class is that you really aren't confined to understanding just social networks. The professor grazes on a little bit of game theory, sociology, and even public policy. Feedback: One piece of feedback I left in my Coursera review for the class was that it would be nice to have some sort of lab, or reference supplement to teach you how to pull your own data (other than FB's). I also appreciated the emphasis on visual analysis since this is an introductory/general course. If you want to go above and beyond, there are readings/academic lit available on the website. Prerequisites: The beginning of the class introduced some math and statistics. The professor did not harp on memorizing equations, but understanding the formulas will definitely give you an edge in being able to intuit about particular situations.
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Student profile image
Student profile image

Student

6/10 starsCompleted
4 years, 4 months ago
The course was fascinating. It introduced me to exciting and recent links and writeups on Social Networks and tools. Lada has a wonderful way of making things seem simple at the same time evoke curiosity - hence make learning very natural. Thank you!
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Richard Taylor profile image
Richard Taylor profile image
10/10 starsCompleted
  • 29 reviews
  • 28 completed
4 years, 11 months ago
This is a great course. The topics are modern they are presented in a clear and interesting way along with many examples. Gephi and Netlogo are used to create simulations, models and analysis of social networks. Something to highlight about this course is that all of the examples, excercises and programming assignments really made sense, using interesting data for interesting and diverse problems. I loved the idea of a final peer-graded project with 3 different optional areas to cover and an open subject. It's fun and interesting to do and fun and interesting to grade and see what the other students did. This is a fun course with many interesting topics presented in an excellent way. Totally recommended.
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Marcello profile image
Marcello profile image
8/10 starsCompleted
  • 3 reviews
  • 3 completed
5 years, 9 months ago
A good introductory course. I quite enjoyed the videos: Lada has a casual style and is clearly passionate about the course content. Sometimes the quiz answers were unclear, but I think on the whole the test material was good (the quizzes could be repeated, so ambiguous questions would not impact the final grade). I didn't do the peer-reviewed assignments, as they looked far too difficult compared to the content of the lectures. In the end, I think the course was an enjoyable ride, but I feel like I'm missing very important pieces. I would like to know more about collecting data, for example. After the course I bought O'Reilly's excellent "Mining the Social Web", which explains quite a lot about getting data from social networks, blogs and other sites, and complemented well what I learned from this Coursera course. It would also be nice and interesting to have a more in-depths course (either as a separate course or as additional weeks... A good introductory course. I quite enjoyed the videos: Lada has a casual style and is clearly passionate about the course content. Sometimes the quiz answers were unclear, but I think on the whole the test material was good (the quizzes could be repeated, so ambiguous questions would not impact the final grade). I didn't do the peer-reviewed assignments, as they looked far too difficult compared to the content of the lectures. In the end, I think the course was an enjoyable ride, but I feel like I'm missing very important pieces. I would like to know more about collecting data, for example. After the course I bought O'Reilly's excellent "Mining the Social Web", which explains quite a lot about getting data from social networks, blogs and other sites, and complemented well what I learned from this Coursera course. It would also be nice and interesting to have a more in-depths course (either as a separate course or as additional weeks), to continue learning about network analysis in all its forms.
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Alfonso profile image
Alfonso profile image
8/10 starsCompleted
  • 3 reviews
  • 2 completed
5 years, 11 months ago
On the positive side, the course had interesting content, the video lectures were good, the teacher was friendly, the course was flexible (programming exercises are optional, the material available long time in advance so you can follow the course at your own pace, etc.), responsive staff, interviews with people working at industry (facebook, linked in, etc.), there were many network simulations and interesting assignments in the course. On the negative side, the material could have been a bit more structured and there was a competition that was somehow spoiled by a bug in the system. All in all Im happy I have taken this course. I feel it was worth my time and Im thankful to the teacher for having made it available.
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Jeff Winchell profile image
Jeff Winchell profile image
6/10 starsCompleted
  • 91 reviews
  • 66 completed
4 years, 9 months ago
It is a so-so class. The best thing is it made it clear why further study and application of social network analysis can be very useful. On the down side, the professor seemed a bit too casual/loose/amateurish/unprepared. She was not one who exudes confidence and therefore makes the audience confident that they are learning the right things. After going through the entire course, I feel she is quite knowledgeable, but it isnt't something that comes off on a first impression. She also had some weird/wrong vocabulary or grammar that was not correct English, which made me wonder if English was her native language (which it is). As I was simultaneously taking the Excellent AI class from Berkeley and Excellent Intro to Programming class from MIT, her weaknesses were more apparent due to the contrast with these fine courses.
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Trish profile image
Trish profile image
5/10 starsCompleted
  • 2 reviews
  • 2 completed
5 years, 11 months ago
I completed this class but did not get a Statement of Achievement because I didn't finish with a high enough %. However, this would be my review no matter what grade I got. I love this topic so I'm sad that I didn't pass. I can tell that Lada is very passionate about this subject. However, I felt the videos were a bit confusing. I'm pretty sure none of the questions I asked about the assignments in the discussion boards were answered by staff - which made them difficult. You were allowed to take the tests 100 times. Each time you retook it there were some questions that were replaced by new questions. Unfortunately, the tests never showed us which questions we got wrong - just that we had scored 6/10 or whatever. Without knowing which ones were wrong, along with a subject I'm trying to learn, and a rotating set of questions, I really never found out what I truly knew. Questions about this went unanswered but finally in the last week ... I completed this class but did not get a Statement of Achievement because I didn't finish with a high enough %. However, this would be my review no matter what grade I got. I love this topic so I'm sad that I didn't pass. I can tell that Lada is very passionate about this subject. However, I felt the videos were a bit confusing. I'm pretty sure none of the questions I asked about the assignments in the discussion boards were answered by staff - which made them difficult. You were allowed to take the tests 100 times. Each time you retook it there were some questions that were replaced by new questions. Unfortunately, the tests never showed us which questions we got wrong - just that we had scored 6/10 or whatever. Without knowing which ones were wrong, along with a subject I'm trying to learn, and a rotating set of questions, I really never found out what I truly knew. Questions about this went unanswered but finally in the last week of tests, the tests starting showing which questions were wrong. A little too late. Additionally, some of us were having problems getting Gephi to work on any computer for various reasons, and could not complete that portion of the tests (I just guessed). The questions about how to work around this also went unanswered. At the same time I was taking this class, I also took a class about Epidemics from Pennsylvania State U. It was nice because the class content complemented each other very well. The Epidemics class was far easier to understand and follow, and had a more professional presentation.
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Nicholas Paul profile image
Nicholas Paul profile image
10/10 starsCompleted
  • 5 reviews
  • 5 completed
6 years, 5 months ago
I came into this course with a BS in Engineering but no previous experience with this subject matter in a college setting. This was one of the best online courses I've taken. Lada's homework policies were flexible and thoughtful—and for this format, why shouldn't they be?—and her lectures were great launching points for further exploration. I say that because, if I had to find a fault with this class, it's that it is too short to properly cover the material. Lada's lectures inspired me to do lots of independent research on the topics, because her lectures left a lot to be explained and explored, which—don't get me wrong—is a great thing. She was a great instructor, though, and the material sells itself. What an interesting field! I wouldn't change a thing aside from making the course longer and more in-depth. I'm left wanting more—MISSION ACCOMPLISHED, LADA!
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makoto_inoue profile image
makoto_inoue profile image
6/10 starsCompleted
  • 8 reviews
  • 7 completed
6 years, 9 months ago
I dropped out the course around week 4. This is partially because I was taking too many other course and had to drop out some of them. However, I didn't feel that I was digesting the content even though I was able to complete assignments (I guess that was because programming assignments are optional and you tend to skip anything optional). There was also one assignment which let users compete how many followers you can get and discuss the tactic achieving it. It's interesting idea, but I didn't like the concept, so I did not participate.
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ANISH profile image
ANISH profile image
7/10 starsCompleted
  • 4 reviews
  • 4 completed
6 years, 8 months ago
though i had taken an amazing course 'networked life' from university of Pennsylvania before starting this course, i.e. i had some knowledge of the topics to be covered in the course, yet i found this course tough. its main drawback was that it's lectures were not structured properly. yet the involvement form the lecturer via google hangouts, programming assignments and projects(optional) were tremendous. i found the lecturer to be very involving and creative outside the lectures. so overall review : fine.
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Norma Campbell profile image
Norma Campbell profile image
7/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 11 months ago
This class was harder than the course description made it out to be. I struggled with some of the math concepts used in lectures and assignments and I think a higher math background would be an appropriate pre-requisite. However, I learned a lot more than I expected to and I really liked the instructor, Lada Adamic. In addition to regular lectures and assignments, Lada made videos available of interviews with network specialists at Google, LinkedIn, and Facebook. I feel those videos definitely added value to the overall course. She also hosted multiple Google Hangouts.
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Vadim Solomonik profile image
Vadim Solomonik profile image
10/10 starsCompleted
  • 6 reviews
  • 6 completed
6 years, 11 months ago
this is a fantastic course. Lada Adamic managed to include tones of material in the 8-week course. the concepts are new, so the course has plenty of bugs, and its level is inconsistent. Nonetheless, it is the best class in its field.
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Bani profile image
Bani profile image
6/10 starsDropped
  • 4 reviews
  • 3 completed
7 years, 1 month ago
The topics are very interesting, but the exercises are a little bit confusing. Maybe on the next run there will be fewer problems with the quizzes and homework assignments.
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