Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Leonie Neuhäuser"'
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Improving the position of minority groups in networks through interventions is a challenge of high theoretical and societal importance. However, a systematic analysis of interventions that alter the network growth process is still missing. I
Externí odkaz:
https://doaj.org/article/b4db51155469472c9b553f6aa476d9a5
Autor:
Fabian Stephany, Leonie Neuhäuser, Niklas Stoehr, Philipp Darius, Ole Teutloff, Fabian Braesemann
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract The global spread of Covid-19 has caused major economic disruptions. Governments around the world provide considerable financial support to mitigate the economic downturn. However, effective policy responses require reliable data on the econ
Externí odkaz:
https://doaj.org/article/7011046f14774d838e090e0ab227241f
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-22 (2021)
Abstract Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, and reliable and accurately reflects the system to be analysed.
Externí odkaz:
https://doaj.org/article/8031096ebc0b46e7a56d0f09181872d0
Publikováno v:
Communications Physics 6, 108 (2023). doi:10.1038/s42005-023-01218-9
Communications Physics 6, 108 (2023). doi:10.1038/s42005-023-01218-9
Published by Springer Nature, London
Published by Springer Nature, London
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da8334f6c7e2c5d2a35a821924649378
http://arxiv.org/abs/2208.03263
http://arxiv.org/abs/2208.03263
Publikováno v:
Understanding Complex Systems ISBN: 9783030913731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7fa3c5b5b7ede1eb29ac0bf1e50efcb
https://doi.org/10.1007/978-3-030-91374-8_14
https://doi.org/10.1007/978-3-030-91374-8_14
Autor:
Fabian Braesemann, Niklas Stoehr, Philipp Darius, Fabian Stephany, Ole Teutloff, Leonie Neuhäuser
The global spread of Covid-19 has caused major economic disruptions. Governments around the world provide considerable financial support to mitigate the economic downturn. However, effective policy responses require reliable data on the economic cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434efdb17fa4eb3407b53b8255ef6c0c
https://doi.org/10.21203/rs.3.rs-81992/v1
https://doi.org/10.21203/rs.3.rs-81992/v1
We investigate consensus dynamics on temporal hypergraphs that encode network systems with time-dependent, multiway interactions. We compare these consensus processes with dynamics evolving on projections that remove the temporal and/or the multiway
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b47b646fbb9572b2b8372537f68c06
Publikováno v:
Network Games, Control and Optimization ISBN: 9783030874728
NetGCooP
NetGCooP
We introduce and analyse a three-body consensus model (3CM) for non-linear consensus dynamics on hypergraphs. Our model incorporates reinforcing group effects, which can cause shifts in the average state of the system even in if the underlying graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c200d3491e17f8ea64aa843b49398368
https://doi.org/10.1007/978-3-030-87473-5_23
https://doi.org/10.1007/978-3-030-87473-5_23
Autor:
Philipp Darius, Fabian Stephany, Fabian Braesemann, Ole Teutloff, Leonie Neuhäuser, Niklas Stoehr
While the coronavirus spreads, governments are attempting to reduce contagion rates at the expense of negative economic effects. Market expectations plummeted, foreshadowing the risk of a global economic crisis and mass unemployment. Governments prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41692c8de9d5c863d6b37948a6f785bf
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-22 (2021)
Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, and reliable and accurately reflects the system to be analysed. Especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba4e31930fda20b718089a92c43c91f