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Jack Burright

Biographic Data

ID1846293
NAMEJack Burright
GIVEN NAMESJack
FAMILY NAMEBurright
SIGNATUREBURRIGHT J
AFFILIATIONSCreighton University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Evaluating collective action theory-based model to simulate mobs

    Open Access•Samer Al-Khateeb, Jack Burright et al.•ARTICLE•Social Network Analysis and Mining•2024•References: 22

    A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). In recent years, these events are increasingly happening worldwide due to the anonymity of the internet, affordability of social media, boredom, etc. Studying such …

No prominent works on this page.

  • Evaluating collective action theory-based model to simulate mobs

    Open Access•Samer Al-Khateeb, Jack Burright et al.•ARTICLE•Social Network Analysis and Mining•2024•References: 22

    A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). In recent years, these events are increasingly happening worldwide due to the anonymity of the internet, affordability of social media, boredom, etc. Studying such …

Anonymity (1 work) · Artificial Intelligence (1 work) · Collective action (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Computer security (1 work) · Data science (1 work) · Digital Marketing and Social Media (1 work) · Happening (1 work) · Internet privacy (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