So I've been thinking...is it possible to calculate the lifespan or posting rate of a meme? Some of them appear to be very parabolic or polynomial. Where would we start /sci/?
From your picture, we can surmise the following:
> memes that have a slow rise to the top have a slow fall to irrelevance, ie
>the rate at which a meme falls from peak notoriety is similar to the rate at which it rises to it
If random resurgences are not taken into account, then the meme posting rates (memeposts per day) of those in the picture you posted may be calculated by something like
p(t) = sqrt(t)/p(t-1)
Where p(t) means number of posts as a function of time in days.
I'm an engineering freshman brainlet though, so please run this through again.
Interesting
To see those different rises and falls
But I don't believe in predicting
>>9070506
Only if you could predict people. You'd have to be able to predict whether certain famous individuals on Twitter or somethkng will start in on it and bring it back up to speed.
>>9070506
Take all those time series and throw a LSTM at it, pretty sure you could predict the future lifetime of a meme
>>9070506
That's just shit going viral with little use
Pepe the frog will last long just because it's so adaptable.
>>9070506
Rogers beat you by about a century. The same math is used for epidemiology to track and forecast the spread of diseases. Sociologists use it to track fads, crime, cults, drug use, and ideologies. Marketers use it to forecast new product adoption (they call it the Bass model). The general term is diffusion model.
That's the origin of the word "meme", incidentally. Dawkins decided that propagation of ideas and viruses follow the same math and therefore might share other characteristics.
Google the Bass Model. It's the easiest because so many b-school students learn it, so it's already formatted and structured for use by laymen.
You could pull a data dump from 4plebs or something and run a content analysis. Possibly publishable in the sociology or poly sci literature, since memes are topical in politics lately.
You'd have enough memes to maybe classify them and predict their rate and scope of adoption.