Quantifying Information Flow During Emergencies

Liang Gao, Chaoming Song, Ziyou Gao, Albert-László Barabási, James P. Bagrow, Dashun Wang

Open source

DOI: 10.1038/srep03997
Published: 2014-02-06
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/srep03997,
  title = {Quantifying Information Flow During Emergencies},
  author = {Liang Gao and Chaoming Song and Ziyou Gao and Albert-László Barabási and James P. Bagrow and Dashun Wang},
  year = {2014},
  journal = {Scientific Reports},
  doi = {10.1038/srep03997},
  url = {https://doi.org/10.1038/srep03997}
}

RIS

TY  - JOUR
TI  - Quantifying Information Flow During Emergencies
AU  - Liang Gao
AU  - Chaoming Song
AU  - Ziyou Gao
AU  - Albert-László Barabási
AU  - James P. Bagrow
AU  - Dashun Wang
PY  - 2014
JO  - Scientific Reports
DO  - 10.1038/srep03997
UR  - https://doi.org/10.1038/srep03997
ER  -

APA

Gao, L., Song, C., Gao, Z., Barabási, A., Bagrow, J. P., & Wang, D. (2014). Quantifying Information Flow During Emergencies. Scientific Reports. https://doi.org/10.1038/srep03997

Source records

crossref · retrieved 2026-09-25T21:54:48.034Z