Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right).
<p>The first row corresponds to the SI process with the model parameter , the second row to the SIR process with , and the last row to the SITAD process with .</p>
Сохранить в:
| Главный автор: | |
|---|---|
| Другие авторы: | |
| Опубликовано: |
2025
|
| Предметы: | |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| _version_ | 1851483655629701120 |
|---|---|
| author | Thien-Minh Le (22075988) |
| author2 | Jukka-Pekka Onnela (353658) |
| author2_role | author |
| author_facet | Thien-Minh Le (22075988) Jukka-Pekka Onnela (353658) |
| author_role | author |
| dc.creator.none.fl_str_mv | Thien-Minh Le (22075988) Jukka-Pekka Onnela (353658) |
| dc.date.none.fl_str_mv | 2025-08-18T18:01:25Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1013373.g005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Approximation_of_different_approaches_for_the_SI_SIR_and_SITAD_spreading_processes_on_the_BA_network_left_and_modified_ER_network_with_a_single_connected_component_right_/29935634 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Biotechnology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified mapping epidemic spread homogeneously mixed population estimate model parameters computation time required provide useful insights fully connected network nevertheless routinely used method proves advantageous provide similar results also provide form similar network models empirical network well understood theoretical justification theoretical analysis studying epidemics spreading rule spreading processes significantly reducing reproduction numbers proposed method often implausible intervention strategies identify reasons heterogeneous mixing forecast epidemics first identifying explicitly handling exact match especially important disease spreading core assumption |
| dc.title.none.fl_str_mv | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The first row corresponds to the SI process with the model parameter , the second row to the SIR process with , and the last row to the SITAD process with .</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f23f50d15a407baa0a123e18fde38f62 |
| identifier_str_mv | 10.1371/journal.pcbi.1013373.g005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29935634 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right).Thien-Minh Le (22075988)Jukka-Pekka Onnela (353658)MedicineBiotechnologyEcologyCancerInfectious DiseasesBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedmapping epidemic spreadhomogeneously mixed populationestimate model parameterscomputation time requiredprovide useful insightsfully connected networknevertheless routinely usedmethod proves advantageousprovide similar resultsalso provideform similarnetwork modelsempirical networkwell understoodtheoretical justificationtheoretical analysisstudying epidemicsspreading rulespreading processessignificantly reducingreproduction numbersproposed methodoften implausibleintervention strategiesidentify reasonsheterogeneous mixingforecast epidemicsfirst identifyingexplicitly handlingexact matchespecially importantdisease spreadingcore assumption<p>The first row corresponds to the SI process with the model parameter , the second row to the SIR process with , and the last row to the SITAD process with .</p>2025-08-18T18:01:25ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1013373.g005https://figshare.com/articles/figure/Approximation_of_different_approaches_for_the_SI_SIR_and_SITAD_spreading_processes_on_the_BA_network_left_and_modified_ER_network_with_a_single_connected_component_right_/29935634CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299356342025-08-18T18:01:25Z |
| spellingShingle | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). Thien-Minh Le (22075988) Medicine Biotechnology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified mapping epidemic spread homogeneously mixed population estimate model parameters computation time required provide useful insights fully connected network nevertheless routinely used method proves advantageous provide similar results also provide form similar network models empirical network well understood theoretical justification theoretical analysis studying epidemics spreading rule spreading processes significantly reducing reproduction numbers proposed method often implausible intervention strategies identify reasons heterogeneous mixing forecast epidemics first identifying explicitly handling exact match especially important disease spreading core assumption |
| status_str | publishedVersion |
| title | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| title_full | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| title_fullStr | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| title_full_unstemmed | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| title_short | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| title_sort | Approximation of different approaches for the SI, SIR, and SITAD spreading processes on the BA network (left) and modified ER network with a single connected component (right). |
| topic | Medicine Biotechnology Ecology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified mapping epidemic spread homogeneously mixed population estimate model parameters computation time required provide useful insights fully connected network nevertheless routinely used method proves advantageous provide similar results also provide form similar network models empirical network well understood theoretical justification theoretical analysis studying epidemics spreading rule spreading processes significantly reducing reproduction numbers proposed method often implausible intervention strategies identify reasons heterogeneous mixing forecast epidemics first identifying explicitly handling exact match especially important disease spreading core assumption |