On the Value of a Social Network
Sandeep Chalasani

TL;DR
This paper analyzes the value of social networks by examining their structural probability mechanisms, focusing on small world and scale-free networks, and suggests that Zipf's law models their value effectively.
Contribution
It introduces a method to quantify social network value based on underlying probability mechanisms and demonstrates Zipf's law as a fitting model.
Findings
Value of small world networks aligns with Zipf's law
Scale-free networks also follow Zipf's distribution
Provides a quantitative framework for social network valuation
Abstract
In this paper we investigate the value of a social network with respect to the probability mechanism underlying its structure. Specifically, we compute the value for small world and scale free networks. We provide evidence in support of the value to be given by Zipfs law.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Game Theory and Applications
