Urban Tourism Destination Image Perception Based on Social Network Analysis: The Example of the Tourist Sites in Yogyakarta

Asep Miftahuddin, R Amalina Dewi Kumalasari, Mahir Pradana

Abstract


Urban Tourism Destination Image Perception aims to describe the image of urban tourism from the perspective of the perception of tourists, therefore, this study provides new information on the progress and innovation of urban tourism. The model proposed in this study can effectively depict a perceptual picture of a tourist destination, with the conclusion that the research provides a vital referential basis for the development of sustainable urban tourism. Combined with Social network analysis, we built a research framework of image perception of tourism destinations and then took popular online comments of beautiful places in Yogyakarta Travel as an example from twitter data using DroneEmprit. The results show that four aspects are included in tourists' perceptions of the image of the city of Yogyakarta: experience, historical culture, recreational services, and tourist destinations. Among them, the social network of the experiential dimension is the most closely related. In addition, emotional analysis illustrates that tourists' emotional tendencies tend to be positive under the four perceptual dimensions.

Keywords


Social Network Analysis, Twitter, Destination Image, Tourism, Drone Emprit

Full Text:

PDF

References


Albrecht, J. N. 2013. “Networking for Sustainable Tourism— Towards a Research Agenda.” Journal of Sustainable Tourism 21 (5): 639–57.

Baggio, R., and R. Sainaghi. 2016. “Mapping Time Series into Networks as a Tool to Assess the Complex Dynamics of Tourism Systems.” Tourism Management 54:23–33.

Baggio, R., N. Scott, and C. Cooper. 2010. “Network science: A Review Focused on Tourism.” Annals of Tourism Research 37 (3): 802–27.

Barbier, G., Feng, Z., Gundecha, P., & Liu, H. (2013). Provenance Data in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, 4(1), 1–84. https://doi.org/10.2200/ S00496ED1V01Y201304DMK007

Bhat, S. S., and S. Milne. 2008. “Network Effects on Cooperation in Destination Website Development.” Tourism Management 29 (6): 1131–40.

Casanueva, C. B., A. N. Gallego, and M. A.-R. García-Sánchez. 2016. “Social Network Analysis in Tourism.” Current Issues in Tourism 19 (12): 1190–209.

Cassia, F.; Vigolo, V.; Ugolini, M.M.; Baratta, R. Exploring city image: Residents’ versus tourists’ perceptions. TQM J. 2018, 30, 476–489. http://doi.org/10.1108/TQM-11-2017-0161

Clarke, H.; Hassanien, A. An Evaluation of Toronto’s Destination Image Through Tourist Generated Content on Twitter. Int. J. Cust. Relat. Mark. Manag. (IJCRMM) 2020, 11, 1–16. http://doi.org/10.4018/IJCRMM.2020040101

Dewi Kumalasari, R. A., Pradana, M., & Miftahuddin, A. (2022). Diskusi Metaverse di Twitter (#Metaverse): Analisis Jejaring Sosial. Ideas: Jurnal Pendidikan, Sosial, Dan Budaya, 8(3), 841. https://doi.org/10.32884/ideas.v8i3.835

Gunduz, U. (2020). Stayhome Hashtag: Sentiment Analysis on Twitter During the Covid-19 Pandemic. European Scientific Journal ESJ, 16(34). https://doi.org/10.19044/esj.2020.v16n34p62

Jin, C., J. Cheng, and J. Xu. 2017. “Using User-Generated Content to Explore the Temporal Heterogeneity in Tourist Mobility.” Journal of Travel Research 57 (6): 779–91.

Kim, H.; Lee, S. Impacts of city personality and image on revisit intention. Int. J. Tour. Cities 2015, 1, 50–69. http://doi.org/10.1108/IJTC-08-2014-0004

Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures & their consequences. SAGE Publications Ltd https://dx.doi.org/10.4135/9781473909472

Larson, J. M., Nagler, J., Ronen, J., & Tucker, J. A. (2019). Social Networks and Protest Participation: Evidence from 130 Million Twitter Users. Source: American Journal of Political Science, 63(3), 690–705. https://doi. org/10.7910/DVN/RLLLlV

Lee, S.-H., J.-Y. Choi, S.-H. Yoo, and Y.-G. Oh. 2013. “Evaluating Spatial Centrality for Integrated Tourism Management in Rural Areas Using GIS and Network Analysis.” Tourism Management 34:14–24.

Martens, H.M.; Reiser, D. Analysing the image of Abu Dhabi and Dubai as tourism destinations—The perception of first-time visitors from Germany. Tour. Hosp. Res. 2019, 19, 54–64. http://doi.org/10.1177/1467358417690436

Money, R. B. 2000. “Social Networks and Referrals in International Organizational Buying of Travel Services.” International Journal of Hospitality & Tourism Administration 1 (1):27–48

Navarria, G. (2019). The Networked Citizen. S p r i n g e r S i n g a p o r e . h t t p s : / / d o i . org/10.1007/978-981-13-3293-7

Otte, E., and R. Rousseau. 2002. “Social Network Analysis: A Powerful Strategy, Also for the Information Sciences.” Journal of Information Science 28 (6): 441–53

Papacharissi, Z., & de Fatima Oliveira, M. (2012). Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt. Journal of Communication, 62(2), 266–282. https://doi.org/10.1111/j.1460- 2466.2012.01630.x

Petersen, S. Vakkalanka, and L. Kuzniarz, “Guidelines for conducting systematic mapping studies in software engineering: An update,” Inf. Softw. Technol., vol. 64, pp. 1–18, 2015.

Petrič, G. (2006). Conceptualizing and Measuring the Social Uses of the Internet: The Case of Personal Web Sites. The Information Society, 22(5), 291–301. https:// doi.org/10.1080/01972240600904159

Porta, D. della, & Diani, M. (2020). Social Movements: An Introduction, 3rd Edition (Vol. 3). Wiley Blackwell.

Pulido-Fernández, J. I., and R. Merinero-Rodríguez. 2018. “Destinations’ Relational Dynamic and Tourism Development.” Journal of Destination Marketing & Management 7:140–52

Sainaghi, R., and R. Baggio. 2017. “Complexity Traits and Dynamics of Tourism Destinations.” Tourism Management 63:368–82

Shuang, D.; Qiuju,W. Identification of tourist perception dimension based on LDA: Research framework and empirical research—Taking National Mine Park as an example. J. Beijing Union Univ. (Human. Soc. Sci. Ed.) 2019, 17, 42–49.

Snijders, T. A. B. 2011. “Statistical Models for Social Networks.” Annual Review of Sociology 37 (1): 131–53.

Suharsa, H., Jam’an Soleh, D., & Miftahuddin, A. (2022). Persepsi Publik tentang Pembelajaran Daring dari Jejak Digital Twitter: Analisis Sentiment Positif, Netral, dan Negatif dari Drone Emprit. JURNAL APARATUR, 6(1), 33–43. https://doi.org/10.52596/ja.v6i1.152

Tyler, D., and C. Dinan. 2001. “The Role of Interested Groups in England’s Emerging Tourism Policy Network.” Current Issues in Tourism 4 (2/4): 210–52

van der Zee, E., and D. Vanneste. 2015. “Tourism Networks Unravelled; A Review of the Literature on Networks in Tourism Management Studies.” Tourism Management Perspectives 15:46–56.

Wang, Y., and Z. Xiang. 2007. “Toward a Theoretical Framework of Collaborative Destination Marketing.” Journal of Travel Research 46 (1): 75–85.

Wasserman, S., and J. Galaskiewicz. 1994. Advances in Social Network Analysis: Research in the Social and Behavioral Sciences. Los Angeles, CA: Sage

Yin, G.; Jianlin, Z. Research on tourists’s perception of landscape image of Chongqing Expo Park Based on network data. J. Southwest Normal Univ. (Nat. Sci. Ed.) 2021, 46, 132–141.

Zaid, A.; Mithat, Z.D.; Fusun, I.D.; Parvin, M. Understanding destination image from the perspective of Western travel bloggers: The case of Istanbul. In. J. Cult. Tour. Hosp. Res. 2018, 12, 198–212.




DOI: https://doi.org/10.17509/tjr.v5i1.51129

Refbacks

  • There are currently no refbacks.


 Creative Commons License

The International Journal Business Review (The Jobs Review) is licensed under a Creative Commons Attribution-ShareAlike 4.0

View My Stats