دورية أكاديمية

Description and simulation of dynamic mobility networks

التفاصيل البيبلوغرافية
العنوان: Description and simulation of dynamic mobility networks
المؤلفون: Scherrer, Antoine, Borgnat, Pierre, Fleury, Eric, Guillaume, Jean-Loup, Robardet, Céline
المساهمون: Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Architectures of networks of services (ARES), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), ComplexNetworks, Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Data Mining and Machine Learning (DM2L), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), This work is partially financed by the European Commission under the Framework 6 HealthCare Project LSH PL037941 ‘‘Mastering hOSpital Antimicrobial Resistance and its spread into the community” (MOSAR) and AEOLUS project IST IP-FP6-015964. The views given herein represent those of the authors and may not necessarily be representative of the views of the project consortium as a whole.
المصدر: ISSN: 1389-1286 ; Computer Networks ; https://inria.hal.science/inria-00327254Test ; Computer Networks, 2008, 52 (15), pp.2842-2858. ⟨10.1016/j.comnet.2008.06.007⟩.
بيانات النشر: HAL CCSD
Elsevier
سنة النشر: 2008
المجموعة: Portail HAL de l'Université Lumière Lyon 2
مصطلحات موضوعية: Dynamic networks, Random graphs, Statistical analysis, Stochastic process, Data mining, Complex systems, Network models, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
الوصف: International audience ; During the last decade, the study of large scale complex networks has attracted a substantial amount of attention and works from several domains: sociology, biology, computer science, epidemiology. Most of such complex networks are inherently dynamic, with new vertices and links appearing while some old ones disappear. Until recently, the dynamics of these networks was less studied and there is a strong need for dynamic network models in order to sustain protocol performance evaluations and fundamental analyzes in all the research domains listed above. We propose in this paper a novel framework for the study of dynamic mobility networks. We address the characterization of dynamics by proposing an in-depth description and analysis of two real-world data sets. We show in particular that links creation and deletion processes are independent of other graph properties and that such networks exhibit a large number of possible configurations, from sparse to dense. From those observations, we propose simple yet very accurate models that allow generate random mobility graphs with similar temporal behavior as the one observed in experimental data
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: inria-00327254; https://inria.hal.science/inria-00327254Test; https://inria.hal.science/inria-00327254/documentTest; https://inria.hal.science/inria-00327254/file/computernetworks_main.pdfTest
DOI: 10.1016/j.comnet.2008.06.007
الإتاحة: https://doi.org/10.1016/j.comnet.2008.06.007Test
https://inria.hal.science/inria-00327254Test
https://inria.hal.science/inria-00327254/documentTest
https://inria.hal.science/inria-00327254/file/computernetworks_main.pdfTest
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.8AC6C07C
قاعدة البيانات: BASE