Analytical approach to network inference : Investigating degree distribution
| dc.contributor.author | Cecchini, Gloria | |
| dc.contributor.author | Schelter, Bjoern | |
| dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.date.accessioned | 2018-08-14T14:55:06Z | |
| dc.date.available | 2018-08-14T14:55:06Z | |
| dc.date.issued | 2018-08 | |
| dc.description | The authors thank Dr. Daniel Vogel for helpful comments and discussions. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642563. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 10 | |
| dc.format.extent | 2098059 | |
| dc.identifier | 130627743 | |
| dc.identifier | 70749850-adeb-47b9-94e2-169a4fe0d905 | |
| dc.identifier | 85051482237 | |
| dc.identifier.citation | Cecchini, G & Schelter, B 2018, 'Analytical approach to network inference : Investigating degree distribution', Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 98, no. 2, 022311. https://doi.org/10.1103/PhysRevE.98.022311 | en |
| dc.identifier.doi | 10.1103/PhysRevE.98.022311 | |
| dc.identifier.iss | 2 | en |
| dc.identifier.issn | 1539-3755 | |
| dc.identifier.uri | http://hdl.handle.net/2164/10901 | |
| dc.identifier.vol | 98 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Physical Review. E, Statistical, Nonlinear and Soft Matter Physics | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | European Commission | en |
| dc.subject | 642563 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Analytical approach to network inference : Investigating degree distribution | en |
| dc.type | Journal article | en |