Hyperlink network analysis of a multi destination region

the case of Halland, South Sweden

Fanni Zoé Éber, Rodolfo Baggio, Matthias Fuchs

Research output: Contribution to journalArticle

Abstract

Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio in Phys A 379(2):727–734, 2007; Raisi et al. in J Travel Res https://doi.org/10.1177/0047287517708256, 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.

Original languageEnglish
Pages (from-to)181-188
Number of pages8
JournalInformation Technology and Tourism
Volume20
Issue number1-4
DOIs
Publication statusPublished - 1 Dec 2018

Fingerprint

Electric network analysis
network analysis
Sweden
Tourism
Websites
Industry
Topology
stakeholder
industry
website
indication
comprehension
travel
efficiency
management
knowledge

Keywords

  • Hyperlink network analysis
  • Multi destination region
  • South Sweden
  • Tourism websites

ASJC Scopus subject areas

  • Computer Science(all)
  • Social Sciences (miscellaneous)

Cite this

Hyperlink network analysis of a multi destination region : the case of Halland, South Sweden. / Éber, Fanni Zoé; Baggio, Rodolfo; Fuchs, Matthias.

In: Information Technology and Tourism, Vol. 20, No. 1-4, 01.12.2018, p. 181-188.

Research output: Contribution to journalArticle

@article{92b365dfdb864cf994a8a2c66eeed70f,
title = "Hyperlink network analysis of a multi destination region: the case of Halland, South Sweden",
abstract = "Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio in Phys A 379(2):727–734, 2007; Raisi et al. in J Travel Res https://doi.org/10.1177/0047287517708256, 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.",
keywords = "Hyperlink network analysis, Multi destination region, South Sweden, Tourism websites",
author = "{\'E}ber, {Fanni Zo{\'e}} and Rodolfo Baggio and Matthias Fuchs",
year = "2018",
month = "12",
day = "1",
doi = "10.1007/s40558-018-0108-9",
language = "English",
volume = "20",
pages = "181--188",
journal = "Information Technology and Tourism",
issn = "1098-3058",
publisher = "Springer Science + Business Media",
number = "1-4",

}

TY - JOUR

T1 - Hyperlink network analysis of a multi destination region

T2 - the case of Halland, South Sweden

AU - Éber, Fanni Zoé

AU - Baggio, Rodolfo

AU - Fuchs, Matthias

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio in Phys A 379(2):727–734, 2007; Raisi et al. in J Travel Res https://doi.org/10.1177/0047287517708256, 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.

AB - Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio in Phys A 379(2):727–734, 2007; Raisi et al. in J Travel Res https://doi.org/10.1177/0047287517708256, 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.

KW - Hyperlink network analysis

KW - Multi destination region

KW - South Sweden

KW - Tourism websites

UR - http://www.scopus.com/inward/record.url?scp=85058806785&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058806785&partnerID=8YFLogxK

U2 - 10.1007/s40558-018-0108-9

DO - 10.1007/s40558-018-0108-9

M3 - Article

VL - 20

SP - 181

EP - 188

JO - Information Technology and Tourism

JF - Information Technology and Tourism

SN - 1098-3058

IS - 1-4

ER -