The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Models of core/periphery structures
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Citations
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Centrality in social networks conceptual clarification
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Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research
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Social Networks and Health: Models, Methods, and Applications
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Orchestration Processes in Network-Centric Innovation: Evidence From the Field.
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Cognitive Network Neuroscience
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Task-Based Core-Periphery Organization of Human Brain Dynamics
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Towards a new approach to reveal dynamical organization of the brain using topological data analysis
Saggar, M., Sporns, O., Gonzalez-Castillo, J., Bandettini, P. A., Carlsson, G., Glover, G., & Reiss, A. L. (2018) · Nature Communications · doi:10.1038/s41467-018-03664-4 · Cited by 253
Assessing the bias in samples of large online networks
González-Bailón, S., Wang, N., Rivero, A., Borge-Holthoefer, J., & Moreno, Y. (2014) · Social Networks · doi:10.1016/j.socnet.2014.01.004 · Cited by 238
Wiring cost and topological participation of the mouse brain connectome
Rubinov, M., Ypma, R. J. F., Watson, C., & Bullmore, E. T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420315112 · Cited by 219
Social Network Structure of a Large Online Community for Smoking Cessation
Cobb, N. K., Graham, A. L., & Abrams, D. B. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.165449 · Cited by 210
“332, a fit index that indicated a modest correlation between the observed structure and a hypothetical ideal core–periphery structure.(38) Visually, a large cluster of smokers appears in the inferior portion of the graph, and nonsmokers cluster more in the superior aspect.”
BackgroundFrom maps to multi-dimensional network mechanisms of mental disorders
Braun, U., Schaefer, A., Betzel, R. F., Tost, H., Meyer-Lindenberg, A., & Bassett, D. S. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.007 · Cited by 177
Core and Periphery in Free/Libre and Open Source Software Team Communications
Crowston, K., Wei, K., Li, Q., & Howison, J. (2006) · Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06) · doi:10.1109/hicss.2006.101 · Cited by 196
Network Structure and Patterns of Information Diversity on Twitter1
Shore, J., Baek, J., & Dellarocas, C. (2018) · MIS Quarterly · doi:10.25300/misq/2018/14558 · Cited by 117
Communication networks in geographically distributed software development
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The periphery on stage: The intra-organizational dynamics in online communities of creation
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Influence of augmented humans in online interactions during voting events
Stella, M., Cristoforetti, M., & De Domenico, M. (2019) · PLOS ONE · doi:10.1371/journal.pone.0214210 · Cited by 51
“Note that we are not referring to users in the periphery [33, 34] of the system, where information can slowly but flawlessly flow among all nodes in the network.”
Scaffolding cooperation in human groups with deep reinforcement learning
McKee, K. R., Tacchetti, A., Bakker, M. A., Balaguer, J., Campbell-Gillingham, L., Everett, R., & Botvinick, M. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01686-7 · Cited by 43
A voice without a mouth no more: The neurobiology of language and consciousness
Skipper, J. I. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104772 · Cited by 31
Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME
Cheng, C., Li, B., Li, Z.-Y., Zhao, Y.-Q., & Liao, F.-L. (2017) · Journal of Computer Science and Technology · doi:10.1007/s11390-017-1728-9 · Cited by 26
Task‐Based Structures in Open Source Software: Revisiting the Onion Model
Christian, J., & Vu, A. N. (2021) · R&D Management · doi:10.1111/radm.12428 · Cited by 7
Mignone, P. (2023) · Ñawpa Pacha · doi:10.1080/00776297.2022.2058454 · Cited by 4
How the brain transitions from conscious to subliminal perception
Arese Lucini, F., Del Ferraro, G., Sigman, M., & Makse, H. A. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.03.047 · Cited by 3
Metadata
- Authors
- Borgatti, S. P., & Everett, M. G.
- Venue
- Social Networks
- Publisher
- Elsevier BV
- Published
- 2000-10
- Volume
- 21
- Issue
- 4
- Pages
- 375-395
- ISSN
- 0378-8733 (ISSN-L)
- OpenAlex
- W2072688741
- Cited by
- 2,219
- References
- 3
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
