The DOI matches its Crossref record.
The Rise of the Network Society
Abstract
This first book in Castells' groundbreaking trilogy, with a substantial new preface, highlights the economic and social dynamics of the information age and shows how the network society has now fully risen on a global scale. Groundbreaking volume on the impact of the age of information on all aspects of society Includes coverage of the influence of the internet and the net-economy Describes the accelerating pace of innovation and social transformation Based on research in the USA, Asia, Latin America, and Europe
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“Although rural areas face infrastructural and skills deficits [9], this does not necessarily mean that non-urban areas cannot benefit from agglomeration effects [54].”
From Divergent Paths of SME Digitalization: A Latent Class Approach to Regional Modernization in the European Union (2025) · cites this paper as [54]
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Metadata
- Authors
- Castells, M.
- Corresponding author
- Castells, Manuel
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2009-08-10
- OpenAlex
- W116203901
- Cited by
- 4,664
- References
- 0
- Citations by year
- 2026: 258 · 2025: 285 · 2024: 245 · 2023: 434 · 2022: 264 · 2021: 302 · 2020: 220 · 2019: 228 · 2018: 219 · 2017: 211 · 2016: 207 · 2015: 204 · 2014: 150 · 2013: 171 · 2012: 152
- FWCI
- 144.40
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Blackwell Publishers Inc. eBooks
- Topics
- Social Sciences › General Social Sciences › Information Society and Technology Trends
- Social Sciences › Sociology and Political Science › Contemporary Social and Educational Issues
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › ICT Impact and Policies
- Keywords
- network society, information age, internet, net economy, social change, economic dynamics, globalization, innovation, Manuel Castells
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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.
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