The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Optimal Network Modularity for Information Diffusion
Open accessAbstract
We investigate the impact of community structure on information diffusion with the linear threshold model. Our results demonstrate that modular structure may have counterintuitive effects on information diffusion when social reinforcement is present. We show that strong communities can facilitate global diffusion by enhancing local, intracommunity spreading. Using both analytic approaches and numerical simulations, we demonstrate the existence of an optimal network modularity, where global diffusion requires the minimal number of early adopters.
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Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 13,723
Infectious Diseases of Humans: Dynamics and Control
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Threshold models of collective behavior
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Epidemic Spreading in Scale-Free Networks
Pastor-Satorras, R., & Vespignani, A. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.3200 · Cited by 5,731
Dynamic models of segregation†
Schelling, T. C. (1971) · The Journal of Mathematical Sociology · doi:10.1080/0022250x.1971.9989794 · Cited by 4,915
Cited by
Communication dynamics in complex brain networks
Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856
Measuring Emotional Contagion in Social Media
Ferrara, E., & Yang, Z. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142390 · Cited by 532
Self-citationCooperative and competitive spreading dynamics on the human connectome
Mišić, B., Betzel, R. F., Nematzadeh, A., Goñi, J., Griffa, A., Hagmann, P., Flammini, A., Ahn, Y.-Y., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.035 · Cited by 342
Self-citationBrain network communication: concepts, models and applications
Seguin, C., Sporns, O., & Zalesky, A. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00718-5 · Cited by 284
Optimized connectome architecture for sensory-motor integration
Worrell, J. C., Rumschlag, J., Betzel, R. F., Sporns, O., & Mišić, B. (2017) · Network Neuroscience · doi:10.1162/netn_a_00022 · Cited by 32
Metadata
- Authors
- Nematzadeh, A., Ferrara, E., Flammini, A., & Ahn, Y.-Y.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2014-08-18
- Volume
- 113
- Issue
- 8
- Pages
- 088701-088701
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2152900968
- Cited by
- 300
- References
- 38
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Nematzadeh, A., Ferrara, E., Flammini, A., & Ahn, Y.-Y. (2014). Optimal Network Modularity for Information Diffusion. Physical Review Letters. https://doi.org/10.1103/physrevlett.113.088701
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.