The evolutionary process of the development path of cultural tourism industry integration from a non-linear perspective

[1] Tang, Y., Yi, N., & Mao, J. (2017). Derived network based on directed limited penetrable visibility graph for time series. Journal of Systems Engineering, 32(2), 156-264. Search in Google Scholar

[2] Baggio, R. (2020). Tourism destinations: A universality conjecture based on network science. Annals of Tourism Research, 82, 102929. DOI: 10.1016/j.annals.2020.102929. Search in Google Scholar

[3] Campopiano, G., Minola, T., & Sainaghi, R. (2016). Students climbing the entrepreneurial ladder. International Journal of Contemporary Hospitality Management, 28(6), 1115-1136. Search in Google Scholar

[4] Ahmadi, N., & Rene, M. H. (2018). Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy, and stochastic time series. Social Network Analysis and Mining, 47(8), 12-18. Search in Google Scholar

[5] Vamvakaris, M. D., Athanasios, A., et al. (2018). Time series analysis of S&P 500 index: A horizontal visibility graph approach. Physica A, 497(5), 41-51. Search in Google Scholar

[6] Chuetz, P., & Cafisch, A. (2008). Efficient modularity optimization by multistep greedy algorithm and vertex mover refinement. Physical Review E, 77(4), 046112. DOI: Search in Google Scholar

[7] Mokryn, O., Wagner, A., et al. (2016). The role of temporal trends in growing networks. PLOS ONE, 11(8), 0156505. DOI: 10.1371/journal.pone.0156505. Search in Google Scholar

[8] Wang, M., & Tian, L. (2016). From time series to complex networks: The phase space coarse graining. Physica A, 461(11), 456-468. Search in Google Scholar

[9] Mou, N., Yuan, R., Yang, T., et al. (2020). Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China. Tourism Management, 76, 103955. Search in Google Scholar

[10] Bregoli, I., & del Chiappa, G. (2013). Coordinating relationships among destination stakeholders: Evidence from Edinburgh (UK). Tourism Analysis, 18(2), 145-155. Search in Google Scholar

[11] Sainaghi, R., & Baggio, R. (2014). Structural social capital and hotel performance: Is there a link? International Journal of Hospitality Management, 37, 99-110. Search in Google Scholar

[12] FENG, Y. J., ZHONG, S. Y., LI, Q. Y., et al. (2019). Ecological well-being performance growth in China (1998-2017): From perspectives of industrial structure green adjustment and green total factor productivity. Journal of Cleaner Production, 236(11), 1-13. Search in Google Scholar

[13] Mou, N., Yuan, R., Yang, T., et al. (2020). Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China. Tourism Management, 76, 103955. DOI: 10.1016/j.tourman.2019.103955. Search in Google Scholar

[14] Wang, M., & Tian, L. (2016). From time series to complex networks: The phase space coarse graining. Physica A, 461(11), 456-468. Search in Google Scholar

[15] Fire, M., & Guestrin, C. (2020). The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time. Information Processing and Management, 57, 102041. DOI: 10.1016/j.ipm.2019.05.002. Search in Google Scholar

[16] Newman, M. E. J., & Girvan, M. (2014). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113. DOI: 10.1103/PhysRevE.69.026113. Search in Google Scholar

[17] Lacasa, L., & Toral, R. (2020). Description of stochastic and chaotic series using visibility graphs. Physical Review, 82(14), 036120. DOI: 10.1103/PhysRevE.82.036120. Search in Google Scholar

[18] Angel, M. N., Lacasa, L., & Gomez, J. P. (2022). Visibility Algorithms: A Short Review. Spain: Intech, 119-151. Search in Google Scholar

[19] [Chao, F., & Li, J. G. (2022). Visitor flow pattern of Expo 2010. Chinese Physics B, 21(7), 070209. DOI: 10.1088/1674-1056/ 21/7/070209. Search in Google Scholar

[20] Luque, B., Lacasa, L., Ballesteros, F., et al. (2019). Horizontal visibility graphs: Exact results for random time series. Physical Review E, 80(4), 046103. DOI: 10.1103/PhysRevE.80.046103. Search in Google Scholar

[21] Baggio, R., & Sainaghi, R. (2021). Complex and chaotic tourism systems: Towards a quantitative approach. International Journal of Contemporary Hospitality Management, 23(6), 840-861. Search in Google Scholar

[22] Glückler, J. (2017). Economic geography and the evolution of networks. Journal of Economic Geography, 7(5), 619-634. Search in Google Scholar

[23] Sprott, J. C. (2013). Chaos and Time-series Analysis. Oxford: Oxford University Press, 10-12. Search in Google Scholar

[24] Flagestad, A., & Hope, C. A. (2021). Strategic success in winter sports destinations: A sustainable value creation perspective. Tourism Management, 22(5), 445-461. Search in Google Scholar

[25] Beritelli, P. (2021). Cooperation among prominent actors in a tourist destination. Annals of Tourism Research, 38(2), 607-629. Search in Google Scholar

[26] Pickering, C. M., & Hill, W. (2017). Impacts of recreation and tourism on plant biodiversity and vegetation in protected areas in Australia. Journal of Environmental Management, 85(4), 791-800. Search in Google Scholar

[27] Abeyratne, R. (2019). Management of the environmental impact of tourism and air transport on small island developing states. Journal of Air Transport Management, 5(1), 31-37. Search in Google Scholar

[28] Seetanah, B. (2021). Assessing the dynamic economic impact of tourism for island economies. Annals of Tourism Research, 38(1), 291-308. Search in Google Scholar

[29] Dritsakis, N. (2014). Tourism as a long-run economic growth factor: An empirical investigation for Greece using a causality analysis. Tourism Economics, 10(3), 305-316. Search in Google Scholar

[30] Capó, J., & Nadal, J. R. (2017). Dutch disease in tourism economies: Evidence from the Balearics and the Canary Islands. Journal of Sustainable Tourism, 15(6), 615-627. Search in Google Scholar

[31] Maddala, G. S., & Wu, S. (2019). A comparative study of unit root tests with panel data and new simple test. Oxford Bulletin of Economics Statistics, 61(S1), 631-652. Search in Google Scholar