Understanding the spreading patterns of mobile phone viruses
about
Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infectionPredicting and controlling infectious disease epidemics using temporal networksViral epidemics in a cell culture: novel high resolution data and their interpretation by a percolation theory based modelEvaluating the privacy properties of telephone metadataMeasuring large-scale social networks with high resolutionEfficient detection of contagious outbreaks in massive metropolitan encounter networks.Redrawing the map of Great Britain from a network of human interactions.Structure of urban movements: polycentric activity and entangled hierarchical flows.Geographic constraints on social network groupsReconstructing propagation networks with natural diversity and identifying hidden sources.A new approach to monitoring dengue activityInterplay between telecommunications and face-to-face interactions: a study using mobile phone dataCross-checking different sources of mobility information.Socio-geography of human mobility: a study using longitudinal mobile phone data.Understanding metropolitan patterns of daily encountersWeather effects on mobile social interactions: a case study of mobile phone users in Lisbon, Portugal.Returners and explorers dichotomy in human mobility.A combinatorial model of malware diffusion via bluetooth connections.Bidirectional selection between two classes in complex social networks.Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users.Entangling mobility and interactions in social mediaDynamic social community detection and its applications.Tweets on the road.Five challenges for spatial epidemic modelsCascading walks model for human mobility patternsPredicting traffic volumes and estimating the effects of shocks in massive transportation systems.Hybrid epidemics--a case study on computer worm confickerUnderstanding Human Mobility from Twitter.A Novel Top-k Strategy for Influence Maximization in Complex Networks with Community Structure.Impact of the shedding level on transmission of persistent infections in Mycobacterium avium subspecies paratuberculosis (MAP)Limits of social mobilizationCritical behavior in a stochastic model of vector mediated epidemicsScaling identity connects human mobility and social interactionsQuantifying information flow during emergencies.Encapsulating urban traffic rhythms into road networks.Beyond network structure: How heterogeneous susceptibility modulates the spread of epidemics.A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis.Optimal localization of diffusion sources in complex networksDetermining the impact of cell mixing on signaling during development.Understanding spatial connectivity of individuals with non-uniform population density.
P2860
Q21092519-5D93CB4C-5D11-4F30-871C-21A9F7A2E990Q24610327-AED3B090-6815-4AD3-A80E-947B2D3159BAQ27312197-42D304D4-7BA8-47C6-A140-DF8A0B99153DQ27322353-9A68D923-121E-4067-AE66-226A1D8F9466Q28045206-94498ADA-C80B-44C8-BB27-DF6168CC14C1Q33718915-F0E5119C-208F-4C1D-97E4-39A219B4729CQ33775719-3223B2D0-D540-4B9D-8B56-7B2532702DCFQ33797974-55FCF78B-7FA9-4F24-9BB6-076265A2441FQ33869166-18EFD690-3499-4BA5-AE27-FE177E5FE5ECQ33924080-0099B2FC-5B74-431E-8D51-C4E92986BA5FQ33925216-7F68CA69-E384-4438-9B36-72A8C95AE531Q33963757-17C76421-0BAE-4CB0-9421-095CA50C9A83Q34061879-139D3D79-FF39-46EB-96FF-16F08E4DE614Q34325967-419CD969-3DBD-46F4-9E8E-FA2B86DE49ABQ34362063-B3EFCBC5-18D6-46F7-B006-7A0DF905E732Q34446866-716EE60E-0005-4589-9676-40DC8ABBCB5AQ34493083-E299A6DC-7340-48C7-A61F-2970339EF8FAQ34651302-276E0451-E013-4E1D-AC39-E5D5F90ED81DQ34738228-1F190DD4-622A-4990-83AD-AAE4FF2E741AQ35075201-2442005D-7AEE-489E-98B2-D17C9D2D4A41Q35126593-A6F89117-B252-4A4D-A2FB-A4EF2B7F7EEDQ35145046-213191A8-8363-4C5E-A720-12794D5A3875Q35228682-F7270B0A-10E2-4D5C-AD09-0C9C77E01475Q35252728-DA62575A-03F4-4072-9938-F40FDADDA651Q35362386-1DB1BCB9-B7BF-496A-A646-804406E2005FQ35590278-68E4B4B4-BB5A-4355-9109-CE626BF450C5Q35632633-13F4FF64-55E3-4FB5-B91F-D3DF21CA92C7Q35686091-86A1FBEF-8A0C-442B-BC87-A77C31787FF3Q35872911-F833B556-D870-47FC-A129-92EEE7044DE3Q36634204-6E457ECB-B2AF-4419-B7C1-F0B3D02C22A2Q36781945-8F5290C7-0FAC-4CEE-B8CD-438BCC257281Q36970488-CCA6C135-9195-4072-95AB-13CBBD36E929Q37065121-4D30DD6B-517F-4AC1-A2A1-C47C8441436BQ37559694-7E4D37D3-6308-40BC-946D-66574BF9315AQ37594456-22AA0397-18F2-4507-B04D-85A29C047125Q37722964-6CF42BA4-59BC-48FE-86B3-1D45C4B8E6B6Q38708057-C79357FA-B1E8-4B39-B1AA-E48810E1C4F2Q38796722-AE56AADA-EA7A-4C83-A41F-480026EA4A33Q39382511-83804873-F082-4DCD-B57B-3DDD70C7C258Q39893776-8B39ED8C-F4FF-430D-8A94-66529812D14B
P2860
Understanding the spreading patterns of mobile phone viruses
description
article publié dans la revue scientifique Science
@fr
im Mai 2009 veröffentlichter wissenschaftlicher Artikel
@de
scientific article published in Science
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в травні 2009
@uk
name
Understanding the spreading patterns of mobile phone viruses
@en
Understanding the spreading patterns of mobile phone viruses
@nl
type
label
Understanding the spreading patterns of mobile phone viruses
@en
Understanding the spreading patterns of mobile phone viruses
@nl
prefLabel
Understanding the spreading patterns of mobile phone viruses
@en
Understanding the spreading patterns of mobile phone viruses
@nl
P356
P1433
P1476
Understanding the spreading patterns of mobile phone viruses
@en
P2093
Marta C González
P304
P356
10.1126/SCIENCE.1167053
P407
P577
2009-04-02T00:00:00Z