A weighted network model for interpersonal relationship evolution

Bo Hu, Xin Yu Jiang, Jun Feng Ding, Yan Bo Xie, Bing Hong Wang

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

A simple model is proposed to mimic and study the evolution of interpersonal relationships in a student class. The small social group is simply assumed as an undirected and weighted graph, in which students are represented by vertices, and the depth of favor or disfavor between them are denoted by the corresponding edge weight. In our model, we find that the first impression between people has a crucial influence on the final status of student relations (i.e., the final distribution of edge weights). The system displays a phase transition in the final hostility proportion depending on the initial amity possibility. We can further define the strength of vertices to describe the individual popularity, which exhibits nonlinear evolution. Meanwhile, various nonrandom perturbations to the initial system have been investigated, and simulation results are in accord with common real-life observations.

Original languageEnglish
Pages (from-to)576-594
Number of pages19
JournalPhysica A: Statistical Mechanics and its Applications
Volume353
Issue number1-4
DOIs
StatePublished - 1 Aug 2005
Externally publishedYes

Keywords

  • Interpersonal relationship
  • Nonlinear evolution
  • Weighted network

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