Social Network Analysis

★ ★ ★ ★ ★
16 reviews
   by Lada Adamic
   at Coursera
Social Network Analysis
Overall Rating
Social Network Analysis (85 + 1) out of 5 based on 16 ratings and 16 user reviews.
16
Content
Difficulty
Depth
Entertainment

Course Characteristics
  • guided
  • videos
  • syllabus
  • written materials
  • benchmarks
  • certification
Level:     Undergraduate
Cost:    FREE!
Session Info:     Past session!
Dates: May. 20 2013 - Jul. 22 2013
Main Languages: English
All Languages: English
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16 people have taken this
13 people are interested
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What you will learn

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.

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Reviews for Social Network Analysis at Coursera

Showing reviews 1 - 16 of 16

2"A great course for understanding SNA basics " by dorit-geifman
A great course for understanding the basics of network topology and processes, with a focus on social network. The course is not difficult and it is fun. If you have a couple of hours each week to allocate, the course is recommended
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"Good and enjoyable introduction to SNA" by marcin-smialek
After taking this course, I don't feel an expert in SNA, which is not very surprising. However I got familiar with basic notions in the world of SNA, and even more some interesting use cases. Generally problems of social network analysis are not trivial if you want to implement something useful in real life, that's why it's challenging to lecture them, but Lada Adamic is really good at it. One of few things I didn't like about this course were quiz questions that were sometimes definetely too easy. I enjoyed this course as there were lots of funny and informative simulations.
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1"Great for all interested in internet technologies" by frank-gdansk
I'm interested in internet technologies, mobile, social network; I'm a dev and entrepreneur starting new web project , so this course provided me very useful information and tools. If you work in email marketing, social network marketing - this course is MUST HAVE. Materials and videos were very explaining, and Professor Adamic provided all easily. There were also additional materials and lectures if anyone wanted to dive deeper in subject.
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1"Excellent" by richy-li
I've read some books about network analysis but before I took this course, I never found this topic would be so interesting. In this course, you can test many models to verify the theory, which is the most useful part compare with just reading books or watching the videos.
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"An introductory course" by joana-matos-dias
An introductory course for those not acquainted with social network analysis. The course is very interesting, but I think that it will need some improvements for next editions.
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"Wonderful introduction" by andy-scholand
Lada's incredibly enthusiastic lectures, combined with extensive supporting information such as fully functional computational models, makes this class an accessible and highly informative introduction to networks. I enjoyed taking the class and felt I learned new things, even though before taking the class I considered myself fairly well versed in social network theory. Recommended.
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"Accessible, cross-disciplinary intro to SNA" by linkalis
The concepts introduced were flexible, and broadly applicable: I could dive into the suggested readings and additional software applications as much as my time allowed, but didn't have to get too bogged down in equations and concepts that weren't relevant to me. Adamic does a good job balancing the needs of "math-conscious" vs. simply "curious" students: she introduces some of the core equations relevant to SNA for those who are so inclined, but the quizzes and assignments stay focused on key concepts relevant to all disciplines. A very manageable workload: just enough to check conceptual understanding, but not ...
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"SNA even if you are like me an old fart!!" by george-sos
Without any other backround but a few attempts to learn C++ and java but gave up after the first week ,and without even a high school diploma i tried to follow the course and with exception the R part which i found really difficult the rest of the course was very straight forward,and Lada Adamic is a very good teacher especially for the not so mathematically inclined....I am taking it again as i want to be able to avhieve to get a certificate (it would be the 1st in my whole life)
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"Engaging lectures from Lada Adamic" by lukeoatham
An engaging delivery of lectures by Lada made this course very enjoyable (I dropped another course because it felt like the guy was just reading from slides). Lada packed a lot of topics into the course, covering not only social networks but transport, information, biological and power grid networks amongst other things. Interesting examples from real data sets and studies, plus some great video interviews with companies such as LinkedIn. You'll find this course easier if you have a background in statistics and understand some of the theory, calculations and terminology.
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"Great intro to SNA" by zhangyong
I really enjoy the whole course. It covered many interesting topic in network analysis, in fact such a broad coverage that might require a second round or research individual topics by yourself. It will be fun to learn, plenty of applications that you will sure to want to explore further.
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"not very hard" by juliana-farinaci
It was a great course, at least for beginners like me. Not very hard to get good grades if you're doing the non-programming option. And Lada, the professor, is so so so nice...
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"Must have tool" by constance-beaulieu
This is a course you will want to take twice. The first time to get an overview of the field, to go through most of the readings, and to familiarize yourself with the terminology and concepts. You will find the subject matter so interesting that you will want to redo the course: this time with the programming option and to submit a project. If you have not done any maths for a while, take a quick statiscs online refresher tutorial before starting the course. The course lectures are well organized and you gain access to tons ...
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"Harder than it looks... and I learnt something" by richard-hare
Having played around with Gephi, one of the tools used in this course, for a couple of years, I half expected to waltz through this with my eyes closed. Instead I found myself challenged to think carefully about each assignment, especially on the couple of occasions I felt almost lost or overwhelmed due to my over-confidence. The subject matter fascinated me and the mathematics was explained in an intuitive way which meant it wasn't a barrier.
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"A Great Challenge" by chris-drew
This course was definitely a commitment that had pay offs week one. I have been able to analyze the groups I am in on Facebook and offer recommendations based off of analyzing the network of most and least connected individuals, based off of this course.
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"Its a good one " by kshitijlives
If you have interest is "Networks" and how to they function , this is the perfect recipe for developing the basic ( a bit more than basics actually ) foundation . The pace of the course is perfect . And the best part would be the teaching methodology . A lot of examples have been used to help in understanding the subject . Lastly no prerequisite knowledge of any top shelf subject is required , while doing the Assignments . Just stick with the course , follow the discussion forums , and you sail pass easily .
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"A great one!" by elvira-sichevaya
Though it was quite difficult, this course was a great experience. A lot of models and examples making sense in the "real life". A great deal of additional resources to consider. Also the programming option was a nice opportunity to try applying the knowledge using various tools. It's not some _easy_ overview course - to take advantage of it you'll have to do some work and probably spend several hours a week working on assignments - but it definitly worth that!
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