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Epidemic processes in complex networks
dc.contributor.author | Pastor Satorras, Romualdo |
dc.contributor.author | Castellano, Claudio |
dc.contributor.author | Van Mieghem, Piet |
dc.contributor.author | Vespignani, Alessandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear |
dc.date.accessioned | 2015-09-22T08:32:01Z |
dc.date.available | 2015-09-22T08:32:01Z |
dc.date.created | 2015-08-31 |
dc.date.issued | 2015-08-31 |
dc.identifier.citation | Pastor-Satorras, R., Castellano, C., Van Mieghem, P., Vespignani, A. Epidemic processes in complex networks. "Reviews of modern physics", 31 Agost 2015, núm. 3, p. 925-979. |
dc.identifier.issn | 0034-6861 |
dc.identifier.uri | http://hdl.handle.net/2117/77005 |
dc.description.abstract | In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and sociotechnical systems. The complex properties of real-world networks have a profound impact on the behavior of equilibrium and nonequilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, mathematicians, epidemiologists, computer, and social scientists share a common interest in studying epidemic spreading and rely on similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while focusing on the main results and the paradigmatic models in infectious disease modeling, the major results concerning generalized social contagion processes are also presented. Finally, the research activity at the forefront in the study of epidemic spreading in coevolving, coupled, and time-varying networks is reported. |
dc.format.extent | 55 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Modelització matemàtica |
dc.subject.lcsh | Epidemics -- Mathematical models |
dc.subject.lcsh | Complex networks and dynamic systems |
dc.subject.other | LARGE SOCIAL NETWORK |
dc.subject.other | SMALL-WORLD NETWORKS |
dc.subject.other | SCALE-FREE NETWORKS |
dc.subject.other | SEXUALLY-TRANSMITTED-DISEASES |
dc.subject.other | RECURRENT MOBILITY PATTERNS |
dc.subject.other | INFECTIOUS-DISEASES |
dc.subject.other | RANDOM GRAPHS |
dc.subject.other | STRUCTURED POPULATIONS |
dc.subject.other | HETEROGENEOUS NETWORKS |
dc.subject.other | INFLUENTIAL SPREADERS |
dc.title | Epidemic processes in complex networks |
dc.type | Article |
dc.subject.lemac | Epidèmies -- Models matemàtics |
dc.subject.lemac | Xarxes (Matemàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. SIMCON - First-principles approaches to condensed matter physics: quantum effects and complexity |
dc.identifier.doi | 10.1103/RevModPhys.87.925 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.identifier.drac | 16920768 |
dc.description.version | Postprint (author’s final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/317532/EU/Foundational Research on MULTIlevel comPLEX networks and systems/MULTIPLEX |
local.citation.author | Pastor-Satorras, R.; Castellano, C.; Van Mieghem, P.; Vespignani, A. |
local.citation.publicationName | Reviews of modern physics |
local.citation.volume | 87 |
local.citation.number | 3 |
local.citation.startingPage | 925 |
local.citation.endingPage | 979 |
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