The "Cameo Principle" and the Origin of Scale-Free Graphs in Social Networks
classification
❄️ cond-mat.dis-nn
math-phmath.MP
keywords
principledistributionfriendsgraphsactionassumptionscameoclustering
read the original abstract
We formulate a simple edge generation rule based on an inverse like mass action principle for random graphs over a structured vertex set. We show that under very weak assumptions on the structure generating distribution we obtain a scale free distribution for the degree. We furthermore introduce and study a "my friends are your friends" local search principle which makes the clustering coefficient large.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.