Communities, modules and large-scale structure in networks
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Community detection and, more generally, mesoscopic structure detection have been widely studied in the literature of classical complex networks.
“Community detection, and in general mesoscopic structure detection, has been widely studied in the literature of classical complex networks 95,96 .”
From Complex networks from classical to quantum (2019) · cites this paper as [95]
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Self-citationModularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256 · see citing works
Self-citationFunctional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983 · cited 1× · see citing works
“, for instance—the network of chemical reactions within a cell—a community might correspond to a circuit, pathway or motif that carries out a certain function, such as synthesizing or regulating a vital chemical produc”
Resolution limit in community detection
Fortunato, S., & Barthélemy, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605965104 · Cited by 3,024 · see citing works
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Revealing the vectors of cellular identity with single-cell genomics
Wagner, A., Regev, A., & Yosef, N. (2016) · Nature Biotechnology · doi:10.1038/nbt.3711 · Cited by 632 · see citing works
Robust detection of dynamic community structure in networks
Bassett, D. S., Porter, M. A., Wymbs, N. F., Grafton, S. T., Carlson, J. M., & Mucha, P. J. (2013) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4790830 · Cited by 425 · see citing works
Vaghi, M. M., Vértes, P. E., Kitzbichler, M. G., Apergis-Schoute, A. M., van der Flier, F. E., Fineberg, N. A., Sule, A., Zaman, R., Voon, V., Kundu, P., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.08.009 · Cited by 290 · see citing works
Big data with cognitive computing: A review for the future
Gupta, S., Kar, A. K., Baabdullah, A., & Al-Khowaiter, W. A. A. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.005 · Cited by 285 · see citing works
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Akiki, T. J., Averill, C. L., Wrocklage, K. M., Scott, J. C., Averill, L. A., Schweinsburg, B., Alexander-Bloch, A., Martini, B., Southwick, S. M., Krystal, J. H., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.005 · Cited by 188 · see citing works
Detecting hierarchical genome folding with network modularity
Norton, H. K., Emerson, D. J., Huang, H., Kim, J., Titus, K. R., Gu, S., Bassett, D. S., & Phillips-Cremins, J. E. (2018) · Nature Methods · doi:10.1038/nmeth.4560 · Cited by 146 · see citing works
Complex networks from classical to quantum
Biamonte, J., Faccin, M., & De Domenico, M. (2019) · Communications Physics · doi:10.1038/s42005-019-0152-6 · Cited by 149 · see citing works
“Community detection, and in general mesoscopic structure detection, has been widely studied in the literature of classical complex networks [90, 91].”
Influence of augmented humans in online interactions during voting events
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Data Science Project Barriers—A Systematic Review
Labarrère, N., Costa, L., & Lima, R. M. (2025) · Data · doi:10.3390/data10080132 · Cited by 2 · see citing works
- Authors
- Newman, M. E. J.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Newman, M. E. J.
- ORCID
- Newman, M. E. J.
- Venue
- Nature Physics
- Published
- 2011-12-22
- Volume
- 8
- Issue
- 1
- Pages
- 25-31
- ISSN
- 1745-2473 (ISSN-L)
- 1745-2481
- OpenAlex
- W2101580881
- Cited by
- 787
- References
- 5
- Citations by year
- 2026: 19 · 2025: 38 · 2024: 42 · 2023: 48 · 2022: 39 · 2021: 54 · 2020: 54 · 2019: 51 · 2018: 73 · 2017: 72 · 2016: 83 · 2015: 69 · 2014: 71 · 2013: 47 · 2012: 26
- FWCI
- 33.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Physics (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Physical Sciences › Mathematics › Geometry and Topology › Graph theory and applications
- Keywords
- complex networks, community detection, network modules, network topology, complex systems, network organization
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.
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