social network analysis of travel patterns of tourists in southeast asia
TRANSCRIPT
Group: Big Hero 5Dennis Schmidt (A0145262L)
Jean Pierre Castillo (A0145472E)Liu Xu (A0047258Y)
Piyush Varanjani (A0105178H)Yin Xiao Ran(A0117980Y)
Social Network Analysis of Travel
Patterns of Tourists in Southeast
Asia
Agenda
• Introduction
• Methodology
• Findings
• Popularity
• Duration
• Patterns
• Seasons
• Limitations and Conclusion
Hypothesis
“Based on blog data we are able to predict when and
WHERE
individuals will travel to in Southeast Asia”
Sources: www.tripadvisor.com, wikitravel.org, www.flightradar24.com, www.travelpod.com
Methodology - Data Source
Requirement: information about leisure trips with all stages of the trip
Methodology - Data Collection
Source: http://www.travelpod.com/travel-blog-entries/wanderinwonder/1/1426347504/tpod.html
Methodology - Data Collection
Source: http://www.travelpod.com/travel-blog-entries/wanderinwonder/1/1426347504/tpod.html
• Cleaning
• Country names
• City names Regions
• Compiling of matrices and tables
Methodology - Data Preprocessing
Methodology - Data Analysis and Visualization
Sources: www.r-project.org, nodexl.codeplex.com, products.office.com/en-us/excel
Popularity: Median Days Duration of SEA Visits
0 5 10 15 20 25
Brunei (301)
Singapore (913)
East Timor (10)
Cambodia (808)
Laos (836)
Myanmar (279)
Malaysia (872)
Vietnam (778)
Thailand (1308)
Indonesia (566)
Philippines (254)