This material presented in this class was absolutely fascinating. But overall it was an unfulfilling and frustrating experience. The main readings for this class are contained in Professor Watts' own book: Six Degrees: The Science of a Connected Age. The book is great - well written, lively and humorous, informative and it does a great job explaining the concepts and providing helpful analogies and diagrams.
Unfortunately, class-time is a repeat of the book. It gets worse. Class-time was a repeat of class time. First, Professor Watts would explain the concepts - concepts which you would already know if you had done the assigned reading in his book. Then, he would give several examples to illustrate the concept (many of the same examples which he used in his book). And THEN, he would write the concept on the board-in full sentences/paragraphsÂ…and then he would read them out loud! Sure, his explanations were clear, his examples helpful, and his written descriptions straightforwardÂ…but this level of repetition was completely unnecessary. I don't understand why he couldn't have given us typed notes at the beginning of each class rather than wasting class-time writing them on the board.
The pace of this class at times was slower than the crawl of a two-legged turtle. The first few classes were poorly spent. The entire first class was dedicated to marveling at New York City and the fact that such a complicated unregulated (think Adam Smith's 'invisible hand') system works. Ok. It's an interesting topic. But do we really need the exact numbers of daily commuters in and out of NYC!? It was overkill. We spent the entire second class talking about Google, which I found fascinating but clearly bored some people to tears--our class quickly dropped to 20 something. On a later class, we spent about twenty minutes walking through the links connecting Kevin Bacon to a certain actor. As the end of the semester crept-up, Professor Watts was forced to cut topics from the syllabus - topics which were the most interesting (and the most relevant to traditional sociology: the spread of ideas, crazes, the factors determining success/failure of riots and political overthrow, structures of organizations etc). This class sacrificed breadth for depth/repetition and it left me bored and unfulfilled. Watts, a Nature-published researcher, is the leader in his fieldÂ…this class had the potential to be so much moreÂ…
The fundamental topic concerns different mathematical models of social networks-it's largely graph theory and statistics guided by social theory/reflection and real world observations. I completely agree with the reviewer below: the bulletin's description of this course as a "non-mathematical intro to the topic" is completely bogus. If you hate math, don't take this course. To an expert in the field, the class topics are probably non-mathematical. But to the layman, "non-mathematical" is misleading-we even had a whole class period dedicated to introductory statistics (about types of distributions). But as long as you know the basics (i.e. you can read a graph, understand variables in algebra) you'll be fine - Professor Watts does an excellent job clearly explaining the concepts and he teaches any necessary math. And the midterm/final tested the concepts (not math).
The topics covered in this class are real world and tangible and therefore interesting. They have wide implications and for real-life things like the spread of disease, fads, innovations. There's even some basic psych/econ topics thrown in: decision externalities. I'll never choose the crowded restaurant over the empty one next door without wondering what early whims and decisions led to a cascade of events.
So in conclusion, Professor Watts is funny, entertaining, and articulate. But class time is misallocated. Would I recommend this class? Absolutely. Sure it has its flaws, but this is a rare opportunity to take a class with a leading authority on the fascinating subfield of mathematical and network sociology. Take this class if you want to see the world in a amazing new way, and see math and computer science models applied to sociology. Just don't get too passionate about the topics or you'll be left unfulfilled.
This is a perfect class to take for fun (as evidenced by the wide variety of the students' majors). There are zero problem sets/quizzes/homework. Class-time will teach you everything you need to know.