Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Chris Blex

Biographic Data

ID5859053
NAMEChris Blex
GIVEN NAMESChris
FAMILY NAMEBlex
SIGNATUREBLEX C
AFFILIATIONSOxford Internet Institute, University of Oxford, Oxford, UK
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Positive algorithmic bias cannot stop fragmentation in homophilic networks

    Chris Blex, Taha Yasseri•ARTICLE•Journal of Mathematical Sociology•2020•Cited by: 2•References: 11

    Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are system-immanent phenomena of highly flexible social networks, even under ideal conditions for heterogeneity. We achieve this by finding an analytical, network-based solution to the Schelling model and by proving that …

  • Positive algorithmic bias cannot stop fragmentation in homophilic networks

    Chris Blex, Taha Yasseri•ARTICLE•Journal of Mathematical Sociology•2020•Cited by: 2•References: 11

    Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are system-immanent phenomena of highly flexible social networks, even under ideal conditions for heterogeneity. We achieve this by finding an analytical, network-based solution to the Schelling model and by proving that …

  • Positive algorithmic bias cannot stop fragmentation in homophilic networks

    Chris Blex, Taha Yasseri•ARTICLE•Journal of Mathematical Sociology•2020•Cited by: 2•References: 11

    Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are system-immanent phenomena of highly flexible social networks, even under ideal conditions for heterogeneity. We achieve this by finding an analytical, network-based solution to the Schelling model and by proving that …

Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Distributed computing (1 work) · Evolutionary Game Theory and Cooperation (1 work) · Fragmentation (computing (1 work) · Homophily (1 work) · Opinion Dynamics and Social Influence (1 work) · Physics (1 work) · Psychology (1 work) · Social Psychology (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