Oddbean new post about login | logout One reason the Influence Score is better than the WoT Score: it’s not a popularity contest. As you gain more followers, your WoT Score keeps getting bigger and bigger, but your (baseline) Influence Score maxes out at 1. https://i.nostr.build/gZ7JB.jpg
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oh shit our CEO @Derek Ross is moar influential than Snowden 👀
i am kind of disappointed that i am not on that board lol i should as least be 9th
taking @NVK spot I see as you should
i will thumb wrestle him for that spot
I’ll be cheering for you!!
you really do deserve the #1 search spot
das sweet of you to say but I just shitpost my way into frens hearts https://i.nostr.build/3P7Kl.jpg
If you have a special interest in something and you want to share that interest on nostr, and someone in nostr knows that to be the case, you could get that person to do a contextual endorsement of you in that topic, on your profile at brainstorm.ninja . Then others with that same interest will be able to find you. And using Content Discovery, you’ll be able to find them too!
is this real?
Wait until you see what’s the most popular topic in all of Nostrapedia https://i.nostr.build/aQWAr.jpg
WOAAAH I don’t believe you 🤣🤣🤣 I know how to use inspect as well!!!
Work hard. Play harder.
Please don’t call it influence.
How about NotTheInfluencoorScore 😂 To be honest, naming these things is important and is not easy. The score itself is used to determine how much influence my algo will give to a user over my attention, in some context. Directly proportional, in fact. And there are several reasons we might want to refrain using influence as if it were a dirty word. But I am always open to suggestions if anyone can think of a better one.
what is the calc for influence score?
Here is my wiki on it. I suppose I need to go into it in more explicit detail. https://brainstorm.ninja/#/nostrapedia/article?naddr=naddr1qvzqqqrcvgpzpef89h53f0fsza2ugwdc3e54nfpun5nxfqclpy79r6w8nxsk5yp0qq58qunfde3kjurvv5kk7e3dwfjkcct5d9mxjare94nx7u3dwajkytt0vckhgun4wd6qprf69l
ty ill take a look
I start out calculating a weighted average, using follows and mutes. A follow is interpreted as a “vote” for a score or 1, and a mute is a “vote” for a score of zero. It’s a weighted average, and the weight equals the influence score of the follower (or the one who mutes). So most average scores are going to be 1. Next, I add up the sum of weights of all the “votes”. Kinda like you go to Amazon and see an average score, but you also look at the number of raters. This sum of weights, which I call the “input” or “total input”, is translated into a number between 0 and 100 percent which I call the “certainty” or “confidence”. Then the influence score equals the average score multiplied by the confidence in that average score. The confidence score maxes out at 100 percent, which is why everyone on that page has practically the same influence score of 1, doesn’t matter if their WoT score is 20 or 50 or 100 or whatever.
