Recognizing Tourist Movement Networks Using Big Data Analysis and a Median Support Based Graph Approach
Keywords:
Big Data Analysis, support value, median graph algorithm, sigmoid function, Markov clusteringAbstract
Understanding the qualities of visitor traffic is crucial for travel behavior specialists because the traits impact how executives in the tourist business utilize techniques of fascination seeking to promote commercial goods. Nonetheless, the vast majority of the travel industry research techniques are not either versatile or cost-proficient to find fundamental development designs due to the enormous datasets. With propels in data and correspondence innovation, online media stages give enormous informational collections produced by a huge number of individuals from various nations, which can all be gathered expense effectively. To overcome all the existing drawbacks, A graph-based technique for detecting visitor movement patterns from Twitter data is provided in this paper. To begin, the tweets with geotags that have been gathered are filtered to exclude those that were not sent by visitors. Instant generates the tourist graph by finding nodes and edges using the median support value-based graph algorithm (MSBG). Using the sigmoid-based Markov clustering algorithm (SMCL), The network analysis algorithms are then utilized to predict tourist patterns of movement, such as the most prominent tourist attractions, focus attractions, and tour itineraries. The experimental results in terms of the proposed work provide a better outcome in correlation with the current techniques.
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Li, Jingjing, Lizhi Xu, Ling Tang, Shouyang Wang, and Ling Li. "Big data in tourism research: A literature review." Tourism Management 68 (2018): 301-323.
Gandomi, Amir, and Murtaza Haider. "Beyond the hype: Big data concepts, methods, and analytics." International journal of information management 35, no. 2 (2015): 137-144.
Miah, Shah Jahan, Huy Quan Vu, John Gammack, and Michael McGrath. "A big data analytics method for tourist behavior analysis." Information & Management 54, no. 6 (2017): 771-785.
Grover, Purva, and Arpan Kumar Kar. "Big data analytics: A review on theoretical contributions and tools used in literature." Global Journal of Flexible Systems Management 18, no. 3 (2017): 203-229.
Mariani, Marcello, Rodolfo Baggio, Matthias Fuchs, and Wolfram Höepken. "Business intelligence and big data in hospitality and tourism: a systematic literature review." International Journal of Contemporary Hospitality Management (2018).
Ardito, Lorenzo, Roberto Cerchione, Pasquale Del Vecchio, and Elisabetta Raguseo. "Big data in smart tourism: challenges, issues and opportunities." (2019): 1805-1809.
Sotiriadis, Marios D. "Sharing tourism experiences in social media." International Journal of Contemporary Hospitality Management (2017).
Xiang, Zheng, and Daniel R. Fesenmaier. "Big data analytics, tourism design and smart tourism." In Analytics in smart tourism design, pp. 299-307. Springer, Cham, 2017.
Benckendorff, Pierre, and Anita Zehrer. "A network analysis of tourism research." Annals of Tourism Research 43 (2013): 121-149.
Tran, Mai TT, Ananda S. Jeeva, and Zahra Pourabedin. "Social network analysis in tourism services distribution channels." Tourism Management Perspectives 18 (2016): 59-67.
Casanueva, Cristóbal, Ángeles Gallego, and María-Rosa García-Sánchez. "Social network analysis in tourism." Current Issues in Tourism 19, no. 12 (2016): 1190-1209.
Schuckert, Markus, Xianwei Liu, and Rob Law. "Hospitality and tourism online reviews: Recent trends and future directions." Journal of Travel & Tourism Marketing 32, no. 5 (2015): 608-621.
Bello-Orgaz, Gema, Jason J. Jung, and David Camacho. "Social big data: Recent achievements and new challenges." Information Fusion 28 (2016): 45-59.
Güzeller, Cem Oktay, and Nuri Çeliker. "Bibliometric analysis of tourism research for the period 2007-2016." Advances in Hospitality and Tourism Research (AHTR) 6, no. 1 (2018): 1-22.
Chaudhary, D. S. . (2021). ECG Signal Analysis for Myocardial Disease Prediction by Classification with Feature Extraction Machine Learning Architectures. Research Journal of Computer Systems and Engineering, 2(1), 06:10. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/12
Cheng, Mingming, and Deborah Edwards. "Social media in tourism: a visual analytic approach." Current Issues in Tourism 18, no. 11 (2015): 1080-1087.
Lu, Weilin, and Svetlana Stepchenkova. "User-generated content as a research mode in tourism and hospitality applications: Topics, methods, and software." Journal of Hospitality Marketing & Management 24, no. 2 (2015): 119-154.
Cheng, Mingming, and Deborah Edwards. "Social media in tourism: a visual analytic approach." Current Issues in Tourism 18, no. 11 (2015): 1080-1087.
Moro, Sérgio, and Paulo Rita. "Brand strategies in social media in hospitality and tourism." International Journal of Contemporary Hospitality Management (2018).
Valeri, Marco, and Rodolfo Baggio. "Social network analysis: organizational implications in tourism management." International Journal of Organizational Analysis (2020).
Xiang, Zheng, Qianzhou Du, Yufeng Ma, and Weiguo Fan. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism." Tourism Management 58 (2017): 51-65.
Ravi, C., Yasmeen, Y., Masthan, K. ., Tulasi, R. ., Sriveni, D. ., & Shajahan, P. . (2023). A Novel Machine Learning Framework for Tracing Covid Contact Details by Using Time Series Locational data & Prediction Techniques. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2s), 204–211. https://doi.org/10.17762/ijritcc.v11i2s.6046
Centobelli, Piera, and Valentina Ndou. "Managing customer knowledge through the use of big data analytics in tourism research." Current Issues in Tourism 22, no. 15 (2019): 1862-1882.
Leung, Xi Y., Jie Sun, and Billy Bai. "Bibliometrics of social media research: A co-citation and co-word analysis." International Journal of Hospitality Management 66 (2017): 35-45.
Lu, Weilin, and Svetlana Stepchenkova. "User-generated content as a research mode in tourism and hospitality applications: Topics, methods, and software." Journal of Hospitality Marketing & Management 24, no. 2 (2015): 119-154.
Gretzel, Ulrike, Marianna Sigala, Zheng Xiang, and Chulmo Koo. "Smart tourism: foundations and developments." Electronic Markets 25, no. 3 (2015): 179-188.
Van Dongen,S. (2008) Graph clustering via a discrete uncoupling process. SIAM. J. Matrix Anal. Appl., 30, 121–141.
T. Wilschut, L.F.P. Etman, "Multi-level Flow-Based Markov Clustering for Design Structure Matrices", Journal of Mechanical Design, August 16, 2017.
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