Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mathieu Génois"'
Autor:
Marcos Oliveira, Fariba Karimi, Maria Zens, Johann Schaible, Mathieu Génois, Markus Strohmaier
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-9 (2022)
The emergence of inequality in social interactions can depend on a number of factors, among which the intrinsic attractiveness of individuals, but also group size the presence of pre-formed social ties. Here, the authors propose “social attractiven
Externí odkaz:
https://doaj.org/article/efccc04702a546a5b20e30b514338b99
Autor:
Teruyoshi Kobayashi, Mathieu Génois
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Densification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mech
Externí odkaz:
https://doaj.org/article/0b199dd38e3847129b9f88e3da697e06
Autor:
Mathieu Génois, Alain Barrat
Publikováno v:
EPJ Data Science, Vol 7, Iss 1, Pp 1-18 (2018)
Abstract Technological advances have led to a strong increase in the number of data collection efforts aimed at measuring co-presence of individuals at different spatial resolutions. It is however unclear how much co-presence data can inform us on ac
Externí odkaz:
https://doaj.org/article/1e61581b0fc7422b85c939f5f6687f8c
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 7, p e1007190 (2019)
[This corrects the article DOI: 10.1371/journal.pcbi.1004579.].
Externí odkaz:
https://doaj.org/article/db4b20d1df434441abb7ead0376832de
Autor:
Livio Bioglio, Mathieu Génois, Christian L. Vestergaard, Chiara Poletto, Alain Barrat, Vittoria Colizza
Publikováno v:
BMC Infectious Diseases, Vol 16, Iss 1, Pp 1-15 (2016)
Abstract Background The homogeneous mixing assumption is widely adopted in epidemic modelling for its parsimony and represents the building block of more complex approaches, including very detailed agent-based models. The latter assume homogeneous mi
Externí odkaz:
https://doaj.org/article/3e01054fbaeb4e7b973193f032d12162
Autor:
Inkeri Kontro, Mathieu Génois
Publikováno v:
Education Sciences, Vol 10, Iss 3, p 68 (2020)
Student belongingness is important for successful study paths, and group work forms an important part of modern university physics education. To study the group dynamics of introductory physics students at the University of Helsinki, we collected net
Externí odkaz:
https://doaj.org/article/1dfd7b9ee4a841ea9ffc90eb70dc1025
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 10, p e1004579 (2015)
Stochastic simulations are one of the cornerstones of the analysis of dynamical processes on complex networks, and are often the only accessible way to explore their behavior. The development of fast algorithms is paramount to allow large-scale simul
Externí odkaz:
https://doaj.org/article/863225ad2cf041d083f212feaf8d9d10
Publikováno v:
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2023, 107, pp.024301. ⟨10.1103/PhysRevE.107.024301⟩
Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2023, 107, pp.024301. ⟨10.1103/PhysRevE.107.024301⟩
International audience; Temporal networks of face-to-face interactions between individuals are useful proxies of the dynamics of social systems on fast time scales. Several empirical statistical properties of these networks have been shown to be robu
Autor:
Teruyoshi Kobayashi, Mathieu Génois
Publikováno v:
Physical Review E
Physical Review E, American Physical Society (APS), 2020, 102 (5), pp.052302. ⟨10.1103/PhysRevE.102.052302⟩
Physical Review E, 2020, 102 (5), pp.052302. ⟨10.1103/PhysRevE.102.052302⟩
Physical Review E, American Physical Society (APS), 2020, 102 (5), pp.052302. ⟨10.1103/PhysRevE.102.052302⟩
Physical Review E, 2020, 102 (5), pp.052302. ⟨10.1103/PhysRevE.102.052302⟩
Many real-world social networks constantly change their global properties over time, such as the number of edges, size and density. While temporal and local properties of social networks have been extensively studied, the origin of their dynamical na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::951f748e81923b6d622237989d52d9b2
https://hal.archives-ouvertes.fr/hal-03094946/document
https://hal.archives-ouvertes.fr/hal-03094946/document
Autor:
Mathieu Génois, Inkeri Kontro
Publikováno v:
Education Sciences
Education Sciences, MDPI, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Education Sciences, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Education Sciences, Vol 10, Iss 3, p 68 (2020)
Education Sciences and Psychology
Education Sciences and Psychology, Georgian Technical University, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Volume 10
Issue 3
Education Sciences, MDPI, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Education Sciences, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Education Sciences, Vol 10, Iss 3, p 68 (2020)
Education Sciences and Psychology
Education Sciences and Psychology, Georgian Technical University, 2020, 10 (3), pp.68. ⟨10.3390/educsci10030068⟩
Volume 10
Issue 3
Student belongingness is important for successful study paths, and group work forms an importantpartofmodernuniversityphysicseducation. Tostudythegroupdynamicsofintroductory physics students at the University of Helsinki, we collected network data fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57acec2c668ffb7a56d5a140dcac506e
http://hdl.handle.net/10138/317280
http://hdl.handle.net/10138/317280