# Preferential placement for community structure formation

## TL;DR

This paper introduces the principle of preferential placement to model realistic community structures in complex networks, supported by empirical analysis and theoretical insights.

## Contribution

It proposes a novel principle for modeling community structures and provides both empirical and theoretical analysis of the resulting network properties.

## Key findings

- Community structures can be effectively modeled using preferential placement.
- The empirical analysis shows realistic clustering patterns.
- Theoretical results support the validity of the proposed model.

## Abstract

Various models have been recently proposed to reflect and predict different properties of complex networks. However, the community structure, which is one of the most important properties, is not well studied and modeled. In this paper, we suggest a principle called "preferential placement", which allows to model a realistic clustering structure. We provide an extensive empirical analysis of the obtained structure as well as some theoretical results.