Demonstration Of Exponential Random Graph Models In Tourism Studies: Is Tourism A Means Of Global Peace Or The Bottom Line?
Keywords
Exponential-family random graph models (ERGMs); Peace; Prejudice; Racism; Social network analysis; Tourism
Abstract
Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random graph models (ERGMs) in various scientific investigations, no studies have utilized these inferential methods of network analysis in hospitality and tourism studies. In some contexts, the power of these methods is undeniably superior to those of conventional statistical tests. Accordingly, in the current study, by using the controversial subject of tourism-peace, I demonstrated how ERGMs can be used in hypotheses testing and statistical modeling in hospitality and tourism context. The results of this study suggest that a change of perspective in tourism-peace discourse from tourism as a peacemaker to tourism as a peacekeeper can be a valid approach concerning the long-lasting debates on the relationship between tourism and peace.
Publication Date
3-1-2018
Publication Title
Annals of Tourism Research
Volume
69
Number of Pages
31-41
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.annals.2017.12.007
Copyright Status
Unknown
Socpus ID
85040011875 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85040011875
STARS Citation
Khalilzadeh, Jalayer, "Demonstration Of Exponential Random Graph Models In Tourism Studies: Is Tourism A Means Of Global Peace Or The Bottom Line?" (2018). Scopus Export 2015-2019. 9374.
https://stars.library.ucf.edu/scopus2015/9374