The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Predicting the Behavior of Techno-Social Systems
Abstract
We live in an increasingly interconnected world of techno-social systems, in which infrastructures composed of different technological layers are interoperating within the social component that drives their use and development. Examples are provided by the Internet, the World Wide Web, WiFi communication technologies, and transportation and mobility infrastructures. The multiscale nature and complexity of these networks are crucial features in understanding and managing the networks. The accessibility of new data and the advances in the theory and modeling of complex networks are providing an integrated framework that brings us closer to achieving true predictive power of the behavior of techno-social systems.
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Metadata
- Authors
- Vespignani, A.
- Venue
- Science
- Published
- 2009-07-24
- Volume
- 325
- Issue
- 5939
- Pages
- 425-428
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2035316056
- Cited by
- 495
- References
- 4
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
