Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Jianxi Luo

Biographic Data

ID3597170
NAMEJianxi Luo
GIVEN NAMESJianxi
FAMILY NAMELuo
SIGNATURELUO J
AFFILIATIONSSingapore University of Technology and Design
ORCID0000-0001-5892-8432
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Forecasting Covid-19 pandemic

    Open Access•Jianxi Luo•ARTICLE•Technological Forecasting and…•2021

  • Multicores-periphery structure in networks

    Open Access•Bowen Yan, Jianxi Luo•ARTICLE•Network Science•2019•Cited by: 2•References: 6

    Many real-world networks exhibit a multicores-periphery structure, with densely connected vertices in multiple cores surrounded by a general periphery of sparsely connected vertices. Identification of the multicores-periphery structure can provide a new lens to understand the structures and functions of various real-world networks. This paper defines the multicores-periphery structure and introduces an algorithm to identify the optimal partition …

  • Asymmetry in In-Degree and Out-Degree Distributions of Large-Scale Industrial Networks

    Open Access•Jianxi Luo, Daniel E Whitney•ARTICLE•Structure and Dynamics eJournal…•2015•References: 6

    Many natural, physical and social networks commonly exhibit power-law degree distributions. In this paper, we discover previously unreported asymmetrical patterns in the degree distributions of incoming and outgoing links in the investigation of large-scale industrial networks, and provide interpretations. In industrial networks, nodes are firms and links are directed supplier-customer relationships. While both in- and out-degree distributions ha…

  • Technology-based design and sustainable economic growth

    Open Access•Jianxi Luo, Alison Olechowski et al.•ARTICLE•Technovation•2014

  • Multicores-periphery structure in networks

    Open Access•Bowen Yan, Jianxi Luo•ARTICLE•Network Science•2019•Cited by: 2•References: 6

    Many real-world networks exhibit a multicores-periphery structure, with densely connected vertices in multiple cores surrounded by a general periphery of sparsely connected vertices. Identification of the multicores-periphery structure can provide a new lens to understand the structures and functions of various real-world networks. This paper defines the multicores-periphery structure and introduces an algorithm to identify the optimal partition …

  • Technology-based design and sustainable economic growth

    Open Access•Jianxi Luo, Alison Olechowski et al.•ARTICLE•Technovation•2014

  • Asymmetry in In-Degree and Out-Degree Distributions of Large-Scale Industrial Networks

    Open Access•Jianxi Luo, Daniel E Whitney•ARTICLE•Structure and Dynamics eJournal…•2015•References: 6

    Many natural, physical and social networks commonly exhibit power-law degree distributions. In this paper, we discover previously unreported asymmetrical patterns in the degree distributions of incoming and outgoing links in the investigation of large-scale industrial networks, and provide interpretations. In industrial networks, nodes are firms and links are directed supplier-customer relationships. While both in- and out-degree distributions ha…

  • Multicores-periphery structure in networks

    Open Access•Bowen Yan, Jianxi Luo•ARTICLE•Network Science•2019•Cited by: 2•References: 6

    Many real-world networks exhibit a multicores-periphery structure, with densely connected vertices in multiple cores surrounded by a general periphery of sparsely connected vertices. Identification of the multicores-periphery structure can provide a new lens to understand the structures and functions of various real-world networks. This paper defines the multicores-periphery structure and introduces an algorithm to identify the optimal partition …

  • Forecasting Covid-19 pandemic

    Open Access•Jianxi Luo•ARTICLE•Technological Forecasting and…•2021

Computer Science (4 works) · Business (2 works) · Combinatorics (2 works) · Complex Network Analysis Techniques (2 works) · Economics (2 works) · Government (linguistics) (2 works) · Management science (2 works) · Mathematics (2 works) · Advanced Graph Neural Networks (1 work) · Algorithm (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae