The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A measure of individual role in collective dynamics
Open accessAbstract
Identifying key players in collective dynamics remains a challenge in several research fields, from the efficient dissemination of ideas to drug target discovery in biomedical problems. The difficulty lies at several levels: how to single out the role of individual elements in such intermingled systems, or which is the best way to quantify their importance. Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure. We show that dynamical influence measures explicitly how strongly a node's dynamical state affects collective behavior. For critical spreading, dynamical influence targets nodes according to their spreading capabilities. For diffusive processes it quantifies how efficiently real systems may be controlled by manipulating a single node.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
The Origins of Order: Self-Organization and Selection in Evolution
Kauffman, S. A. (1993) · doi:10.1093/oso/9780195079517.001.0001 · Cited by 7,855
The structure of the nervous system of the nematode Caenorhabditis elegans
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589
Beitrag zur Theorie des Ferromagnetismus
Ising, E. (1925) · Zeitschrift für Physik · doi:10.1007/bf02980577 · Cited by 3,871
Dorogovtsev, S. N., & Mendes, J. F. F. (2003) · doi:10.1093/acprof:oso/9780198515906.001.0001 · Cited by 1,563
Social 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 1×
“Such limitations have been identified also in an empirical study of epidemic spreading in a social grou”
BackgroundOn the spectra of nonsymmetric Laplacian matrices
Agaev, R., & Chebotarev, P. (2005) · Linear Algebra and its Applications · doi:10.1016/j.laa.2004.09.003 · Cited by 177
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
Random walks and diffusion on networks
Masuda, N., Porter, M. A., & Lambiotte, R. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.07.007 · Cited by 657
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
Prebiotic network evolution: six key parameters
Nghe, P., Hordijk, W., Kauffman, S. A., Walker, S. I., Schmidt, F. J., Kemble, H., Yeates, J. A. M., & Lehman, N. (2015) · Molecular BioSystems · doi:10.1039/c5mb00593k · Cited by 113
Metadata
- Authors
- Klemm, K., Serrano, M. Á., Eguíluz, V. M., & Miguel, M. S.
- Venue
- Scientific Reports
- Published
- 2012-02-29
- Volume
- 2
- Issue
- 1
- Pages
- 292-292
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1989952213
- Cited by
- 167
- References
- 7
- FWCI
- 11.43
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A measure of individual role in collective dynamics. https://app.cochat.ai/papers/10.1038/srep00292
- The paper
- Klemm, K., Serrano, M. Á., Eguíluz, V. M., & Miguel, M. S. (2012). A measure of individual role in collective dynamics. Scientific Reports. https://doi.org/10.1038/srep00292
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
