Research ArticleNETWORK SCIENCE
A physical model for efficient ranking in networks
- View ORCID ProfileCaterina De Bacco1,2,*,†,
- View ORCID ProfileDaniel B. Larremore2,3,4,*,† and
- Cristopher Moore2,†
- 1Data Science Institute, Columbia University, New York, NY 10027, USA.
- 2Santa Fe Institute, Santa Fe, NM 87501, USA.
- 3Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.
- 4BioFrontiers Institute, University of Colorado, Boulder, CO 80303, USA.
- ↵†Corresponding author. Email: cdebacco{at}santafe.edu (C.D.B.); daniel.larremore{at}colorado.edu (D.B.L.); moore{at}santafe.edu (C.M.)
↵* These authors contributed equally to this work.
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Science Advances 20 Jul 2018:
Vol. 4, no. 7, eaar8260
DOI: 10.1126/sciadv.aar8260
Vol. 4, no. 7, eaar8260
DOI: 10.1126/sciadv.aar8260
Caterina De Bacco
1Data Science Institute, Columbia University, New York, NY 10027, USA.
2Santa Fe Institute, Santa Fe, NM 87501, USA.
Daniel B. Larremore
2Santa Fe Institute, Santa Fe, NM 87501, USA.
3Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.
4BioFrontiers Institute, University of Colorado, Boulder, CO 80303, USA.
Cristopher Moore
2Santa Fe Institute, Santa Fe, NM 87501, USA.
