Work

Identifying time dependence in network growth

Year: 2020

Type: article

Abstract: This paper demonstrates that assumptions of time independence in network growth are invalid. As a result, methods to estimate the future evolution of networks are likely to lead to misleading results. Given that network topology is driven by the underlying growth process of a network, this may in part explain the rarity of true scale-free networks in real data.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.2.023352

Authors: Max Falkenberg, Jong-Hyeok Lee, Shun-ichi Amano, Ken-ichiro Ogawa, Kazuo Yano, Yoshihiro Miyake, Tim S. Evans, Kim Christensen

Institutions: Imperial College London, Tokyo Institute of Technology, Hitachi (Japan)

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funders: Engineering and Physical Sciences Research Council, Japan Society for the Promotion of Science