The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Absence of influential spreaders in rumor dynamics
Open accessAbstract
Recent research [Kitsak, Gallos, Havlin, Liljeros, Muchnik, Stanley, and Makse, Nature Physics 6, 888 (2010)] has suggested that coreness, and not degree, constitutes a better topological descriptor to identify influential spreaders in complex networks. This hypothesis has been verified in the context of disease spreading. Here, we instead focus on rumor spreading models, which are more suited for social contagion and information propagation. To this end, we perform extensive computer simulations on top of several real-world networks and find opposite results. Namely, we show that the spreading capabilities of the nodes do not depend on their k-core index, which instead determines whether or not a given node prevents the diffusion of a rumor to a system-wide scale. Our findings are relevant both for sociological studies of contagious dynamics and for the design of efficient commercial viral processes.
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Cites
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
The dynamics of protest recruitment through an online network
González-Bailón, S., Borge-Holthoefer, J., Rivero, A., & Moreno, Y. (2011) · Scientific Reports · doi:10.1038/srep00197 · Cited by 571
Self-citationSocial Network Sensors for Early Detection of Contagious Outbreaks
Christakis, N. A., & Fowler, J. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012948 · Cited by 535
Cited by
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Dynamics of information diffusion and its applications on complex networks
Zhang, Z.-K., Liu, C., Zhan, X.-X., Lu, X., Zhang, C.-X., & Zhang, Y.-C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.07.002 · Cited by 484
Ranking spreaders by decomposing complex networks
Zeng, A., & Zhang, C.-J. (2013) · Physics Letters A · doi:10.1016/j.physleta.2013.02.039 · Cited by 448
Measuring user influence on Twitter: A survey
Riquelme, F., & González-Cantergiani, P. (2016) · Information Processing & Management · doi:10.1016/j.ipm.2016.04.003 · Cited by 429
Identifying influential spreaders in complex networks based on gravity formula
Ma, L.-L., Ma, C., Zhang, H.-F., & Wang, B.-H. (2016) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.12.162 · Cited by 367
Metadata
- Authors
- Borge-Holthoefer, J., & Moreno, Y.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2012-02-23
- Volume
- 85
- Issue
- 2
- Pages
- 026116-026116
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W1978567637
- Cited by
- 248
- References
- 3
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- green
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