Modeling the Dynamics of Social Networks

TL;DR

This paper introduces a novel system-theoretic model to analyze the formation and evolution of social networks, focusing on their scale-free properties and human response behaviors across various communication platforms.

Contribution

It presents a new modeling approach that effectively captures the dynamics of social networks and explains their scale-free nature, addressing gaps in existing theories.

Findings

Model successfully characterizes social network evolution

Explains scale-free behavior in human response times

Analyzes consumer behavior on the WWW

Abstract

Modeling human dynamics responsible for the formation and evolution of the so-called social networks - structures comprised of individuals or organizations and indicating connectivities existing in a community - is a topic recently attracting a significant research interest. It has been claimed that these dynamics are scale-free in many practically important cases, such as impersonal and personal communication, auctioning in a market, accessing sites on the WWW, etc., and that human response times thus conform to the power law. While a certain amount of progress has recently been achieved in predicting the general response rate of a human population, existing formal theories of human behavior can hardly be found satisfactory to accommodate and comprehensively explain the scaling observed in social networks. In the presented study, a novel system-theoretic modeling approach is proposed and successfully applied to determine important characteristics of a communication network and to analyze consumer behavior on the WWW.