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How Variability in Individual Patterns of Behavior Changes the Structural Properties of Networks

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8610)

Abstract

Dynamic processes in complex networks have received much attention. This attention reflects the fact that dynamic processes are the main source of changes in the structural properties of complex networks (e.g., clustering coefficient and average shortest-path length). In this paper, we develop an agent-based model to capture, compare, and explain the structural changes within a growing social network with respect to individuals’ social characteristics (e.g., their activities for expanding social relations beyond their social circles). According to our simulation results, the probability increases that the network’s average shortest-path length is between 3 and 4, if most of the dynamic processes are based on random link formations. That means, in Facebook, the existing average shortest path length of 4.7 can even shrink to smaller values. Another result is that, if the node increase is larger than the link increase when the network is formed, the probability increases that the average shortestpath length is between 4 and 8.

Keywords

Network Properties Network Growth Models Small World Theory Network Science Simulation Clustering Coefficient Complex Networks 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Technology Management, Economics, and Policy Program (TEMEP), College of EngineeringSeoul National UniversitySeoulSouth Korea

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