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Cited by 366

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Network science

Baggio, Rodolfo, Scott, Noel, Cooper, Chris·2010·Annals of Tourism Research
DOI 10.1016/j.annals.2010.02.008
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Abstract

This paper presents a review of the methods of the science of networks with an application to the field of tourism studies. The basic definitions and computational techniques are described and a case study (Elba, Italy) used to illustrate the effect of network typology on information diffusion. A static structural characterization of the network formed by destination stakeholders is derived from stakeholder interviews and website link analysis. This is followed by a dynamic analysis of the information diffusion process within the case destination demonstrating that stakeholder cohesion and adaptive capacity have a positive effect on information diffusion. The outcomes and the implications of this analysis for improving destination management are discussed. © 2010 Elsevier Ltd.

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Metadata

Authors
Baggio, R., Scott, N., & Cooper, C.
Venue
Annals of Tourism Research
Publisher
Elsevier BV
Published
2010-07
Volume
37
Issue
3
Pages
802-827
ISSN
0160-7383 (ISSN-L)
DOI
10.1016/j.annals.2010.02.008
OpenAlex
W2097273264
Cited by
366
References
122
FWCI
8.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network science. https://app.cochat.ai/papers/10.1016/j.annals.2010.02.008
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Baggio, R., Scott, N., & Cooper, C. (2010). Network science. Annals of Tourism Research. https://doi.org/10.1016/j.annals.2010.02.008

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.