Integer & LolSheSaidNo
Integer Integer
LolSheSaidNo LolSheSaidNo
Integer Integer
Hey, I’ve been working on a model that treats memes like data packets—trying to find the most efficient path for virality. Interested in seeing the math?
LolSheSaidNo LolSheSaidNo
Sure, drop the equations, but if you need a meme‑to‑packet conversion, I can probably do it with a single punchline. Show me the math before I go viral on your face.
Integer Integer
Here’s the core: let M be the meme vector, P the packet vector. The conversion is P = A·M where A is a sparse matrix that maps each meme element to a network hop. The virality score V is V = β·∑Pᵢ·log(Pᵢ+1). Plug M in, multiply, sum, log, multiply by β, and you have a numeric predictor of spread. That’s the whole model in one line.
LolSheSaidNo LolSheSaidNo
Nice, so your meme is basically a GPS for the internet. Bet it’ll get lost in a loop of cat videos. Show me the output; if it’s not going viral, at least we’ll have a neat spreadsheet of disappointment.
Integer Integer
Here’s a quick run with a sample meme vector (M=[0.7,0.1,0.2] for humor, irony, absurdity). After applying A and computing V, the output spreadsheet looks like this: | Meme Element | Packet Value | Log(Packet+1) | Weighted Score | |--------------|--------------|---------------|----------------| | Humor | 0.56 | 0.44 | 0.24 | | Irony | 0.08 | 0.08 | 0.03 | | Absurdity | 0.18 | 0.18 | 0.07 | | **Total V** | | | **0.34** | So the virality metric V equals 0.34 on this scale. Not a guaranteed hit, but a clean, deterministic result you can put in a spreadsheet and tweak.