Study on Structure of Inbound Tourism Network of Key Tourist cities in Henan Province

DOI

10.2991/emim-17.2017.135How to use a DOI?

Keywords

Key tourist cities; Social network analysis; Tourism network; The spatial structure

Abstract

Using social network analysis method, on the basis of centricity model and the structure hole model, 9 key tourist city of Henan province inbound tourism space network node structure features and the overall structure of the corresponding study found that first entry tourism the key tourist city of Henan province with a total of 44 on the tourist flow relationship between network nodes, each of the key tourist cities exist between an average of 4.89 a tourist city with other tourist flow of agglomeration and diffusion, and 8.25 times the mediator role in tourism network; Second, Zhengzhou is the core of the inbound tourism network is the key tourist city of Henan province, Luoyang in the another core place, the rest of the key cities for the position is low, on the brink of inbound tourism network structure; Finally, the key tourist city of inbound tourism in Henan province overall network density is higher, but obviously there is not balanced, exist differences between different cities.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junyuan Zhao
PY  - 2017/04
DA  - 2017/04
TI  - Study on Structure of Inbound Tourism Network of Key Tourist cities in Henan Province
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 669
EP  - 676
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.135
DO  - 10.2991/emim-17.2017.135
ID  - Zhao2017/04
ER  -