Can meme evolution be studied by network topology or graph theory? Is anyone working on this already, I tried google scholar and UIUCs library, but wasn't sure what search terms to use or what fields to look in.
Also graph theory love/hate general
Not yet. I think that by now we've gotten the biology tards to learn calculus I in their degrees.
Just give it a couple of hundred years and they will discover a graph theory book on their own.
Imagine a world where the moment pure mathematicians finish something up and publish, scientists immediately jump into it to find applications in their respective field, instead of waiting decades or even centuries for them to pick up or for a mathematician to take a step towards a science.
I mean, for fucks sake, I have seen CS degrees without graph theory and that should be the place where most applications are. Still, gotta wait a couple decades for the CS fags to find out.
>CS degrees without graph theory
Why? It's probably the most important mathematical field to CS. Why do universities require multiple calculus courses when it would be more relevant to require more discrete math courses instead?
Because you need calculus/analysis to understand advanced discrete math beyond the duck level.
>Imagine a world where the moment pure mathematicians finish something up and publish, scientists immediately jump into it to find applications in their respective field
That world was the 20th century.
Only certain areas of it. I would say that other fields of mathematics such as abstract/linear algebra are significantly more useful.
You're free to argue your point and give some examples though, instead of posting /sci/ memes. Maybe something involving generating functions..? Or bounds on things?
(I'm talking about mostly graph theory here though, rather than discrete mathematics in general)
You're avoiding the question. Sure, you need to know it to fully study algebra, but you could get through a lot of the kind of algebra that would be useful for graph theory at the bachelors level (permutation groups, Cayley graphs, general group theory, etc) without it.
I'm going to regret asking this but what books did you use for your other classes?
Isn't frame semantics basically what you're trying to do?
This is well developed in psychology and linguistics. For CS you have Marvin Minsky with his frame concept.
Memes aren't a serious scientific concept. They're more like cultural studies.
It is. CS majors don't realize the sheer volume of material that is left out of their curriculum due to them not knowing analysis. Originally the plan for the CS major involved calculus, vector space theory, 3 semesters of analysis, 2 semesters of numerical analysis, 2 semesters of probability and statistics, discrete math, and abstract algebra with additional electives on combinatorics, graph theory, and optimization.
CS has been watered down to hell in the last 50 years. There's a reason why /sci/ thinks CS shouldn't even be taught in undergrad.
I worded that wrong. Memes can of course be scientific. They're a very interesting concept, in fact. Construction of knowledge itself is. But frames are important in sociology, psychology (as schemas), computer science as well as linguistics.
What I meant was that there is an established practice for what you're trying to do, just under a different name. I don't think there are mathematical models for the dynamics of (social) frame construction, so there's definitively room for your idea.
I'm not saying that analysis isn't important to learn, just that other fields (discrete, algebra, etc) are more important to push into a CS education.
Give some concrete examples to try and justify why a full-out real analysis course should be in a CS degree instead of more discrete or an abstract algbera course.
Your own picture only lists definite prereqs for analysis for things like numerical analysis/system simulation, which is pretty niche within CS.
And don't say general mathematical maturity, since that can also be picked up from other proof-heavy math courses such as algebra.