Stanislav Sobolevsky
Transportation · 2010–2014
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Transportation — 36 citations into it
- Statistical and Nonlinear Physics — 29 citations into it
- Molecular Biology — 17 citations into it
- Modeling and Simulation — 10 citations into it
Whom Stanislav Sobolevsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marta C. González
- Mark Newman
- Dirk Brockmann
- Santo Fortunato
- Albert-László Barabási
- Francesco Calabrese
- Anastasios Noulas
- César A. Hidalgo
- Filippo Simini
- S. Ray
Papers from Stanislav Sobolevsky's perspective
Ordered by how strongly the researchers Stanislav Sobolevsky trusts endorse each paper. Same corpus, a different order for every researcher.
- The scaling laws of human travel (Nature)
- Structure and tie strengths in mobile communication networks (Proceedings of the National Academy of Sciences of the United States of America)
- Understanding individual human mobility patterns
- Geographical dispersal of mobile communication networks
- Limits of Predictability in Human Mobility (Science)
- Geographic routing in social networks (Proc. Natl. Acad. Sci. USA)
- Modularity and community structure in networks.
- Reality mining: sensing complex social systems (Personal and Ubiquitous Computing)
- Modularity from fluctuations in random graphs and complex networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Unravelling daily human mobility motifs (Journal of the Royal Society Interface)
Their papers
- An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data (2014) — 173 citations
- Redrawing the Map of Great Britain from a Network of Human Interactions (2010) — 412 citations
- Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2013) — 318 citations
- Geo-located Twitter as proxy for global mobility patterns (2013) — 685 citations
- A new insight into land use classification based on aggregated mobile phone data (2013) — 396 citations