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of 10
pro vyhledávání: '"Unicomb, Samuel"'
Models of meme propagation on social networks, in which memes compete for limited user attention, can successfully reproduce the heavy-tailed popularity distributions observed in online settings. While system-wide popularity distributions have been d
Externí odkaz:
http://arxiv.org/abs/2206.10960
Burstiness, the tendency of interaction events to be heterogeneously distributed in time, is critical to information diffusion in physical and social systems. However, an analytical framework capturing the effect of burstiness on generic dynamics is
Externí odkaz:
http://arxiv.org/abs/2007.06223
Publikováno v:
Phys. Rev. E 100, 040301 (2019)
Models of threshold driven contagion explain the cascading spread of information, behavior, systemic risk, and epidemics on social, financial and biological networks. At odds with empirical observation, these models predict that single-layer unweight
Externí odkaz:
http://arxiv.org/abs/1901.08306
Publikováno v:
Sci. Rep. 8, 3094 (2018)
Weighted networks capture the structure of complex systems where interaction strength is meaningful. This information is essential to a large number of processes, such as threshold dynamics, where link weights reflect the amount of influence that nei
Externí odkaz:
http://arxiv.org/abs/1707.02185
In this work we explore degree assortativity in complex networks, and extend its usual definition beyond that of nearest neighbours. We apply this definition to model networks, and describe a rewiring algorithm that induces assortativity. We compare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c9df40760828fc1b5a4a72e4c0750fd
Akademický článek
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Autor:
Unicomb, Samuel Lee
Publikováno v:
Networking and Internet Architecture [cs.NI]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEN003⟩
Networks arise frequently in the study of complex systems, since interactions among the components of such systems are critical. Net- works can act as a substrate for dynamical process, such as the diffusion of information or disease throughout popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bbb7685d3d9661988bc3c8a336ca2a33
https://hal.science/tel-02455070v2/document
https://hal.science/tel-02455070v2/document
Autor:
Unicomb, Samuel Lee
Publikováno v:
Networking and Internet Architecture [cs.NI]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEN003⟩
Networks arise frequently in the study of complex systems, since interactions among the components of such systems are critical. Net- works can act as a substrate for dynamical process, such as the diffusion of information or disease throughout popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::bbb7685d3d9661988bc3c8a336ca2a33
https://hal.archives-ouvertes.fr/tel-02455070v2/file/UNICOMB_Samuel_2020LYSEN003_These.pdf
https://hal.archives-ouvertes.fr/tel-02455070v2/file/UNICOMB_Samuel_2020LYSEN003_These.pdf
Autor:
Unicomb, Samuel
Publikováno v:
Physics and Society [physics.soc-ph]. Ecole normale supérieure de Lyon, 2020. English
Networks arise frequently in the study of complex systems, since interactions among the components of such systems are critical. Networks can act as a substrate for dynamical process, such as the diffusion of information or disease throughout populat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d9c180e2a9f696126a32bc69c1c8bd5e
https://hal.archives-ouvertes.fr/tel-02455070/document
https://hal.archives-ouvertes.fr/tel-02455070/document
Akademický článek
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